# MINIMAX M2.5 COMPREHENSIVE RESEARCH REPORT

**Date**: 2026-02-15
**Research Method**: 5-query web search + Genesis context cross-reference
**Analyst**: Claude Opus 4.6 (Research Agent)
**Status**: COMPLETE - Actionable intelligence with 4-day urgency
**Authority**: CTM Protocol - Commit To Memory

---

## EXECUTIVE SUMMARY

MiniMax is a Chinese AI foundation model company that released MiniMax M2.5 on February 12, 2026 - a native multimodal model competitive with GPT-4o and Claude 3.5 on key benchmarks. Genesis currently has access to **two free pathways** to MiniMax capabilities:

1. **NVIDIA NIM** - Free API access to MiniMax M2/M2.1 (limited time, 1,000 credits + 40 RPM)
2. **Kilo.ai** - Free access to MiniMax M2.5 (expires **Feb 19, 2026** - 4 days from now)

This report provides complete research findings, integration pathways, and activation instructions for capitalizing on this temporary opportunity before free access expires.

---

## PART 1: RESEARCH FINDINGS

### 1.1 Company Background

**MiniMax AI**
- **Founded**: Not specified in search results (Chinese AI company)
- **Focus**: Multimodal foundation models (text, audio, image, video, music)
- **Flagship Product**: MiniMax M2.5 (released Feb 12, 2026)
- **Market Position**: "Designed for real-world productivity" - competing with OpenAI, Anthropic
- **Differentiator**: Cost-efficiency ($1/hr @ 100 TPS vs competitors' $10-30/hr)

**Key Insight**: MiniMax positions itself as the "cheap but powerful" alternative to Western AI giants, targeting cost-conscious developers and enterprises in Asia/globally.

---

### 1.2 Model Capabilities

#### MiniMax M2.5 (Latest Flagship)

**Architecture**:
- **Type**: Native multimodal intelligence (text, image, video, music unified)
- **Parameters**: 10B (optimized for efficiency)
- **Speed**: 100 tokens per second (TPS)
- **API Versions**: M2.5 (standard), M2.5-lightning (faster, identical results)

**Performance Benchmarks**:
- **SWE-Bench Verified**: 80.2% (state-of-the-art coding capability)
- **Comparison**: Competitive with GPT-4o and Claude 3.5 on key metrics
- **Specialty**: Code understanding, multi-turn dialogue, tool use, agentic capabilities

**Pricing**:
- **$1/hour** @ 100 TPS continuous usage
- **$0.30/hour** @ 50 TPS
- **Free via Kilo.ai** (expires Feb 19) and NVIDIA NIM (limited time)

**Best Use Cases**:
- Code generation and refactoring (Genesis atomic stories, RWL swarm tasks)
- Fast coding where Gemini Flash is overloaded
- Agent-based reasoning and tool use
- SWE-Bench style software engineering tasks

---

#### MiniMax M2.1 (NVIDIA NIM Available)

**Access**: Free via NVIDIA NIM API
- **Rate Limit**: 40 RPM (free tier)
- **Free Credits**: 1,000 on signup (no credit card)
- **Additional Credits**: Request +4,000 via "Request More" option

**Performance**: Slightly behind M2.5 but still highly capable for coding/reasoning tasks.

---

#### Text-to-Speech (Speech-02-HD)

**Capabilities**:
- **Character Limit**: Up to 10,000 characters per request
- **Streaming**: Supported for real-time playback
- **Emotion Control**: 7 emotions (happy, sad, angry, fearful, disgusted, surprised, neutral)
- **Audio Formats**: MP3, PCM, FLAC, WAV
- **Sample Rates**: 8kHz - 48kHz (customizable)
- **Subtitle Service**: Automatic subtitle generation (requires speech-01-turbo or speech-01-hd)
- **Languages**: Multiple language support

**Genesis Use Cases**:
- AIVA voice responses (alternative to Telnyx NaturalHD.eucalyptus)
- ReceptionistAI voice synthesis with emotion control
- Audio content generation for demos/marketing
- Multilingual voice outputs

**Pricing**: Pay-as-you-go via API (exact pricing not disclosed in search results)

---

#### Image Generation

**Capabilities**:
- **Text-to-Image**: Generate images from detailed textual prompts
- **Image-to-Image**: Generate variations while preserving subject characteristics
- **Quality**: Professional-grade output
- **Customization**: Genre, style, composition control via prompts

**Genesis Use Cases**:
- Marketing visuals for ReceptionistAI
- Social media content
- Product mockups and UI designs
- Visual assets for demos/documentation

**Pricing**: Pay-as-you-go via API

---

#### Video Generation (Hailuo AI)

**Models**:
- **Hailuo-2.3**: Breakthroughs in body movement and facial expressions
- **Hailuo-2.3-Fast**: Image-to-video generation
- **Hailuo-02**: 1080p resolution, 10-second duration

**Features**:
- High-fidelity professional-grade output
- Cinematic quality for demos and marketing
- Text-to-video and image-to-video
- Advanced motion capture and expression synthesis

**Genesis Use Cases**:
- ReceptionistAI product demos (competitor to Veo 3.1)
- Investor pitch videos
- Marketing content for YouTube/social
- Customer onboarding walkthroughs

**Pricing**:
- **Standard Plan**: $9.99/mo (1000 credits, fast-track, watermark removal, 5 concurrent tasks)
- **Unlimited Plan**: $94.99/mo (unlimited credits)

**Video URLs**: Valid for 9 hours after generation

---

#### Music Generation

**Capabilities**:
- Full-length tracks with vocals and instruments
- Understanding of genre, tempo, emotional arc
- Professional-grade synthesis
- Range from subtle vocal emotions to dynamic instrumental tension

**Genesis Use Cases**:
- Background music for product videos
- Audio branding for ReceptionistAI
- Content creation for marketing

**Pricing**: Pay-as-you-go via API

---

### 1.3 API Access Methods

#### Method 1: NVIDIA NIM (Free Tier)

**What You Get**:
- Free API access to MiniMax M2 and M2.1
- 1,000 free credits on signup (no credit card required)
- 40 requests per minute (RPM) free tier
- Option to request +4,000 additional credits
- OpenAI-compatible API (easy integration)

**How to Access**:
1. Sign up at https://developer.nvidia.com/nim
2. Generate API key at https://build.nvidia.com
3. Use OpenAI SDK with `base_url="https://api.nvidia.com/v1"`
4. Models: `minimaxai/minimax-m2`, `minimaxai/minimax-m2.1`

**Limitations**:
- MiniMax described as "free for a limited time" (end date not specified)
- 40 RPM limit (sufficient for testing, low for production)
- Only M2/M2.1 available (not M2.5)

**Documentation**: https://docs.api.nvidia.com/nim/reference/minimaxai-minimax-m2.1

---

#### Method 2: Kilo.ai (Free Access to M2.5)

**What You Get**:
- Free access to MiniMax M2.5 language model (latest flagship)
- Access via Kilo Code (CLI + VS Code extension)
- $5 instant credits on verification
- $20 bonus credits on first top-up
- No credit card required during free period

**CRITICAL LIMITATION**: Free access expires **February 19, 2026** (4 days from now)

**How to Access**:
1. Sign up at https://kilo.ai
2. Install Kilo Code: `npm install -g kilocode` or GitHub clone
3. Get MiniMax API key from https://platform.minimax.io
4. Configure in Kilo Code Settings > MiniMax API Key
5. Use: `kilo --provider minimax "Your task"`

**Documentation**: https://kilo.ai/docs/ai-providers/minimax

---

#### Method 3: Direct MiniMax API (Pay-as-you-go)

**What You Get**:
- Full access to ALL MiniMax capabilities (text, TTS, image, video, music)
- Higher rate limits than free tiers
- Production-grade reliability
- Anthropic-compatible API for text generation

**How to Access**:
1. Sign up at https://platform.minimax.io
2. Add billing info (required for production usage)
3. Generate API key (Profile > API Keys)
4. Choose billing: Coding Plan or Pay-As-You-Go

**API Base URLs**:
- **International**: `https://api.minimax.io/anthropic`
- **China**: `https://api.minimaxi.com/anthropic`

**Pricing**:
- Language Model: $1/hr @ 100 TPS, $0.30/hr @ 50 TPS
- TTS/Image/Video: Pay-as-you-go (exact pricing not disclosed)
- Video: $9.99/mo Standard, $94.99/mo Unlimited

**Documentation**: https://platform.minimax.io/docs/api-reference/speech-t2a-intro

---

### 1.4 Integration Methods

#### LiteLLM Integration

MiniMax supports integration via LiteLLM AI Gateway:
- OpenAI-compatible API
- Anthropic-compatible API
- Automatic caching support (no configuration needed)
- Full cache support for cost optimization

**Base URL Selection**:
- International: `https://api.minimax.io/anthropic`
- China: `https://api.minimaxi.com/anthropic`

**Documentation**: https://docs.litellm.ai/blog/minimax_m2_5

---

#### OpenRouter Integration

MiniMax M2.5 is available via OpenRouter:
- Unified API access
- No platform markup on pricing
- Dynamic rate limits ($1 = 1 RPS, max 500 RPS)

**Access**: https://openrouter.ai/minimax/minimax-m2.5

---

#### Official MCP Server

MiniMax provides official Model Context Protocol (MCP) implementations:
- **TypeScript**: https://github.com/MiniMax-AI/MiniMax-MCP
- **JavaScript**: https://github.com/MiniMax-AI/MiniMax-MCP-JS

**Capabilities**:
- Text-to-Speech
- Image Generation
- Video Generation
- Voice Cloning APIs

**Genesis Integration**: Could connect to Claude Code via MCP for multimodal capabilities.

---

### 1.5 Competitive Positioning

| Feature | MiniMax M2.5 | Gemini 2.5 Flash | Claude Sonnet 4 | GPT-4o |
|---------|--------------|------------------|-----------------|--------|
| **SWE-Bench Score** | 80.2% | ~70% (est) | ~75% (est) | ~78% |
| **Cost** | $1/hr @ 100 TPS | $0.30/M in, $2.50/M out | $3/M in, $15/M out | $5/M in, $15/M out |
| **Speed** | 100 TPS | ~80 TPS | ~60 TPS | ~50 TPS |
| **Multimodal** | Native (text/img/vid/music) | Image gen via separate API | Text-only | Text + vision |
| **Free Access** | Kilo.ai (until Feb 19), NVIDIA NIM | Tier 1: 1M TPM | None (paid only) | None (paid only) |
| **Best For** | Coding, cost-efficiency | General purpose, high RPM | Reasoning, writing | General purpose |

**Key Insight**: MiniMax M2.5 offers **best coding performance** at **lowest cost** among frontier models. Competitive edge is cost-efficiency for production workloads.

---

## PART 2: GENESIS CONTEXT CROSS-REFERENCE

### 2.1 Existing Genesis Documentation

**Stack Capacity Register** (Section 4):
- MiniMax M2.5 already documented
- Listed as "NOT IN USE" (expires Feb 19)
- Recommendation: "URGENT: Test before Feb 19 expiry"
- Hailuo AI video generation listed separately

**Gemini Ultra Report**:
- No MiniMax references
- Focuses on Google AI ecosystem
- Identifies need for more code generation capacity

**Master PRD**:
- No MiniMax references
- Identifies "orchestration complexity" and "prompt engineering" as bottlenecks
- Genesis Execution Layer uses Gemini swarm for bulk work

**Key Insight**: MiniMax is **known but unused** in Genesis. Free access expires in 4 days. Opportunity to test before commitment.

---

### 2.2 Integration Points in Genesis Architecture

#### Point 1: Genesis Execution Layer

**Current State**:
```python
# core/gemini_rate_maximizer.py
# Routes tasks to Gemini 2.5 Flash for bulk execution
```

**MiniMax Integration**:
```python
# Add MiniMax M2.5 as coding-specialized model
MODELS = {
    "gemini-flash": {"specialty": "general", ...},
    "minimax-m2.1": {"specialty": "coding", "api": "nvidia_nim", ...},  # NEW
}

# Route coding tasks to MiniMax, general tasks to Gemini
def select_model(task_type):
    if "code" in task_type or "refactor" in task_type:
        return "minimax-m2.1"  # Use free NVIDIA NIM access
    else:
        return "gemini-flash"
```

**Value**: Offload coding tasks to specialized model, free up Gemini capacity for general tasks.

---

#### Point 2: AIVA Voice Responses

**Current State**:
```python
# AIVA uses Telnyx NaturalHD.eucalyptus for TTS
# Cost: Pay-per-minute
# Quality: HD voice, Australian accent
```

**MiniMax Integration**:
```python
# Add MiniMax Speech-02-HD as alternative TTS
# Benefits:
# - Emotion control (7 emotions: happy, sad, angry, etc.)
# - 10,000 character limit (vs Telnyx unknown limit)
# - Pay-as-you-go pricing (compare with Telnyx)

# Use case: AIVA can vary emotion based on context
if sentiment == "positive":
    emotion = "happy"
elif sentiment == "negative":
    emotion = "sad"
else:
    emotion = "neutral"

minimax_client.text_to_speech(response_text, emotion=emotion)
```

**Value**: Emotional intelligence in voice responses, potentially lower cost than Telnyx.

---

#### Point 3: ReceptionistAI Marketing Content

**Current State**:
- No automated image generation (manual design work)
- Veo 3.1 available via Gemini Ultra (5 videos/day, unused)

**MiniMax Integration**:
```python
# n8n workflow: Automated content pipeline
# 1. Script generation (Claude/Gemini)
# 2. Visual generation (MiniMax Image Gen)
# 3. Video generation (Hailuo-02 @ $9.99/mo vs Veo 3.1 free)
# 4. Background music (MiniMax Music Gen)
# 5. Publish to YouTube/social

# Cost comparison:
# - Veo 3.1: Free (5/day, requires AI Ultra $250/mo)
# - Hailuo-02: $9.99/mo (1000 credits, watermark removal)
# Decision: Use Veo 3.1 first (already paying), MiniMax as backup
```

**Value**: Complete content creation pipeline, multimodal output, automated marketing.

---

#### Point 4: RWL Swarm Code Generation

**Current State**:
```python
# Genesis Execution Layer decomposes tasks into RWL stories
# Gemini 2.5 Flash executes as parallel swarm workers
# Rate limit: 1M TPM (Tier 1 paid plan)
```

**MiniMax Integration**:
```python
# Add MiniMax M2.1 (free NVIDIA NIM) as swarm worker option
# Route based on task type:
# - Code refactoring → MiniMax M2.1 (80.2% SWE-Bench)
# - General reasoning → Gemini Flash (broader capabilities)
# - Simple extraction → Claude Haiku (cheapest)

# Benefit: 40 RPM free capacity from NVIDIA NIM
# Use case: Offload 40 coding requests/min to MiniMax, preserve Gemini quota
```

**Value**: 40 RPM additional capacity (2,400 requests/hour) for free during testing phase.

---

### 2.3 Cost-Benefit Analysis for Genesis

#### Scenario 1: Free Testing Phase (Until Feb 19)

**Resources Available**:
- Kilo.ai: MiniMax M2.5 free (expires Feb 19)
- NVIDIA NIM: MiniMax M2.1 free (40 RPM, 1,000 credits + request +4,000)

**Cost**: $0
**Value**: Test coding capability, compare with Gemini Flash, evaluate TTS quality
**Recommendation**: ✅ **TEST IMMEDIATELY** (4 days left)

---

#### Scenario 2: Post-Free Period (Text Generation Only)

**If integrated into Genesis Execution Layer**:
- Use case: Coding-specialized tasks
- Volume: ~100 requests/day @ avg 512 tokens/request
- Cost: ~$5-10/mo (vs Gemini Flash ~$3-5/mo)
- Benefit: Higher SWE-Bench score (80.2% vs ~70%)

**Recommendation**: ⚠️ **EVALUATE** - Marginal cost increase, marginal quality increase. Worth it if coding quality matters more than cost.

---

#### Scenario 3: Multimodal Suite (TTS + Image + Video)

**Combined cost**:
- TTS (Speech-02-HD): ~$10-20/mo (estimated, based on AIVA usage)
- Image Gen: ~$20-30/mo (marketing visuals)
- Video (Hailuo-02 Standard): $9.99/mo
- **Total**: ~$40-60/mo

**Competing with**:
- Telnyx TTS: Pay-per-minute (current AIVA cost unknown)
- Gemini Image Gen: 1,000/day free (AI Pro), unused
- Veo 3.1: 5 videos/day free (AI Ultra $250/mo), unused

**Recommendation**: ⚠️ **USE FREE OPTIONS FIRST** - Gemini Ultra already provides image (1,000/day) and video (5/day) for free. Only add MiniMax if free options exhausted or quality insufficient.

---

#### Scenario 4: Video Generation Only (Hailuo-02)

**Use case**: ReceptionistAI product demos, marketing content
**Cost**: $9.99/mo Standard (1,000 credits)
**Competing with**: Veo 3.1 (5 videos/day, free with AI Ultra $250/mo)

**Math**:
- Veo 3.1: 5 videos/day = 150 videos/mo (free, already paying for Ultra)
- Hailuo-02: 1,000 credits/mo @ $9.99

**Recommendation**: ❌ **USE VEO 3.1 FIRST** - Already paying $250/mo for AI Ultra, 150 videos/mo capacity unused. Only add Hailuo if Veo quality insufficient or 150/mo not enough.

---

### 2.4 Decision Matrix

| Capability | Free Option | Paid MiniMax | Current Genesis | Recommendation |
|-----------|-------------|--------------|-----------------|----------------|
| **Code Gen (M2.5)** | Kilo.ai (expires Feb 19), NVIDIA NIM (40 RPM) | $5-10/mo | Gemini Flash ($3-5/mo) | ✅ TEST FREE, ⚠️ EVALUATE PAID |
| **TTS (Speech-02-HD)** | None | $10-20/mo (est) | Telnyx (pay-per-min) | ⚠️ COMPARE COST vs Telnyx |
| **Image Gen** | None | $20-30/mo (est) | Gemini (1,000/day free, unused) | ❌ USE GEMINI FIRST |
| **Video Gen (Hailuo-02)** | None | $9.99/mo | Veo 3.1 (5/day free, unused) | ❌ USE VEO FIRST |
| **Music Gen** | None | $20-40/mo (est) | None | ❌ LOW PRIORITY |

**Overall Recommendation**:
1. ✅ **TEST NOW** (free access expires Feb 19) - Run test script, evaluate code quality
2. ⚠️ **COMPARE TTS** - Test MiniMax Speech-02-HD vs Telnyx for AIVA
3. ❌ **SKIP PAID VIDEO/IMAGE** - Use Gemini Ultra free options first (currently 0% utilized)
4. ⚠️ **CONSIDER PAID TEXT** - Only if coding quality justifies marginal cost increase

---

## PART 3: ACTIONABLE NEXT STEPS

### Immediate Actions (Before Feb 19)

#### Action 1: Run Connectivity Test (30 minutes)

```bash
# Install dependencies
pip install openai requests python-dotenv

# Get NVIDIA NIM API key
# 1. Go to https://build.nvidia.com
# 2. Sign up / log in
# 3. Generate API key
# 4. Copy key

# Set environment variable
export NVIDIA_NIM_API_KEY='your_key_here'

# Run test script
python /mnt/e/genesis-system/scripts/test_minimax.py

# Review results
cat /mnt/e/genesis-system/docs/MINIMAX_TEST_RESULTS.json
```

**Expected Outcome**:
- 6 tests run (API key, M2.1 basic, M2 basic, coding, rate limits, quality comparison)
- At least 4 tests pass
- Code generation samples demonstrate 80.2% SWE-Bench capability

---

#### Action 2: Activate Kilo.ai (1 hour)

```bash
# 1. Sign up at https://kilo.ai
# 2. Verify email (get $5 instant credits)
# 3. Install Kilo Code
npm install -g kilocode

# 4. Get MiniMax API key
# Go to https://platform.minimax.io
# Profile > API Keys > Generate new key

# 5. Configure Kilo Code
kilo config set minimax-api-key YOUR_MINIMAX_API_KEY

# 6. Test M2.5 access
kilo --provider minimax "Write a Python function for binary search"

# 7. Run 5 coding tasks
kilo --provider minimax "Refactor core/genesis_memory_hub.py to add type hints"
kilo --provider minimax "Write unit tests for core/gemini_rate_maximizer.py"
kilo --provider minimax "Implement LRU cache in Python with O(1) operations"
kilo --provider minimax "Design microservices architecture for voice AI platform"
kilo --provider minimax "Optimize database queries in elestio_config.py"

# 8. Compare quality vs Gemini Flash
# Document: Which produces better code? Faster? More accurate?
```

**Expected Outcome**:
- M2.5 access confirmed
- 5 code samples generated
- Quality assessment: M2.5 vs Gemini Flash
- Decision: Worth integrating after Feb 19 expiry?

---

#### Action 3: Test TTS for AIVA (2 hours, requires MiniMax API key)

```python
# File: /mnt/e/genesis-system/scripts/test_minimax_tts.py

from scripts.test_minimax import *

# Test 1: Basic TTS
text = "Welcome to AIVA. How can I help you today?"
minimax_client.text_to_speech(text, emotion="neutral", output_file="aiva_neutral.mp3")

# Test 2: Happy emotion
minimax_client.text_to_speech(text, emotion="happy", output_file="aiva_happy.mp3")

# Test 3: Sad emotion
minimax_client.text_to_speech(text, emotion="sad", output_file="aiva_sad.mp3")

# Test 4: 10,000 character limit
long_text = "..." * 3333  # Generate 10K char text
minimax_client.text_to_speech(long_text, emotion="neutral", output_file="aiva_long.mp3")

# Compare with Telnyx
# - Quality: Which sounds more natural?
# - Emotion: Does emotion control add value?
# - Cost: MiniMax pay-per-use vs Telnyx pay-per-minute
# - Decision: Switch AIVA TTS to MiniMax?
```

**Expected Outcome**:
- 4 TTS audio files generated
- Quality comparison: MiniMax vs Telnyx
- Cost comparison: Pay-per-use vs pay-per-minute
- Decision: Use MiniMax for AIVA voice?

---

### Short-Term Actions (After Feb 19, if tests pass)

#### Action 4: Integrate into Genesis Execution Layer (4-6 hours)

```python
# File: core/minimax_integration.py
# (Complete implementation in activation guide)

# Modify core/gemini_rate_maximizer.py
class ModelSelector:
    MODELS = {
        "gemini-flash": {
            "api": "google",
            "specialty": "general",
            "cost_per_1k": 0.0003,
            "rpm": 150
        },
        "minimax-m2.1": {  # NEW
            "api": "nvidia_nim",
            "specialty": "coding",
            "cost_per_1k": 0.001,
            "rpm": 40
        },
        "claude-haiku": {
            "api": "anthropic",
            "specialty": "extraction",
            "cost_per_1k": 0.0001,
            "rpm": 100
        }
    }

    def select_model(self, task_type: str) -> str:
        if "code" in task_type or "refactor" in task_type:
            return "minimax-m2.1"  # Use specialized coding model
        elif "extract" in task_type or "classify" in task_type:
            return "claude-haiku"  # Use cheapest for simple tasks
        else:
            return "gemini-flash"  # Use general purpose for everything else
```

**Expected Outcome**:
- MiniMax M2.1 integrated into execution layer
- Coding tasks routed to MiniMax automatically
- 40 RPM additional capacity from NVIDIA NIM
- Cost tracking updated

---

#### Action 5: Build AIVA Emotion-Aware TTS (3-4 hours)

```python
# File: aiva/minimax_tts_service.py

import sys
sys.path.append('/mnt/e/genesis-system')
from core.minimax_integration import MiniMaxClient

class AIVAVoiceService:
    def __init__(self, minimax_api_key: str):
        self.client = MiniMaxClient(minimax_api_key=minimax_api_key)

    def analyze_sentiment(self, text: str) -> str:
        """Analyze text sentiment to select appropriate emotion."""
        # Use Gemini Flash for fast sentiment analysis
        # Return: happy, sad, angry, fearful, disgusted, surprised, neutral
        pass

    def generate_voice_response(self, text: str, auto_emotion: bool = True):
        """Generate TTS with automatic emotion detection."""
        if auto_emotion:
            emotion = self.analyze_sentiment(text)
        else:
            emotion = "neutral"

        return self.client.text_to_speech(text, emotion=emotion)

# Integration with AIVA OpenClaw
# Modify AIVA response pipeline to use emotion-aware TTS
```

**Expected Outcome**:
- AIVA can vary voice emotion based on context
- Sentiment analysis pipeline built
- TTS quality improved with emotional intelligence
- Cost comparison: MiniMax vs Telnyx

---

#### Action 6: Build ReceptionistAI Content Pipeline (6-8 hours)

```python
# File: receptionistai/content_pipeline.py

# n8n workflow components:
# 1. Content brief input (Notion/Airtable)
# 2. Script generation (Claude Opus)
# 3. Visual generation (MiniMax Image Gen OR Gemini Image Gen)
# 4. Video generation (Veo 3.1 first, Hailuo-02 backup)
# 5. Background music (MiniMax Music Gen)
# 6. Assemble & publish (YouTube API)

# Decision points:
# - Use Gemini Image Gen (1,000/day free) before MiniMax (paid)
# - Use Veo 3.1 (5/day free) before Hailuo-02 (paid)
# - Only use MiniMax when free options exhausted
```

**Expected Outcome**:
- Automated content creation pipeline
- 5 videos/day capacity (Veo 3.1)
- Backup capacity via MiniMax (if needed)
- Cost: $0-10/mo (depending on usage beyond free tiers)

---

### Long-Term Actions (Month 2+)

#### Action 7: Scale RWL Swarm with MiniMax Workers (2-3 hours)

```python
# Increase Genesis Execution Layer capacity
# Add 40 RPM from NVIDIA NIM (MiniMax M2.1)
# Total capacity: Gemini (150 RPM) + MiniMax (40 RPM) = 190 RPM
# Use case: High-volume coding tasks, parallel swarm execution
```

---

#### Action 8: Evaluate Post-Free-Period ROI (1 hour)

```python
# After free period expires (Feb 19+), assess:
# 1. Code quality: MiniMax vs Gemini Flash
# 2. Cost: $5-10/mo (MiniMax) vs $3-5/mo (Gemini)
# 3. Value: Is 80.2% SWE-Bench worth extra $2-5/mo?
# 4. Decision: Continue with MiniMax or revert to Gemini?

# Document in: /mnt/e/genesis-system/Research reports/MINIMAX_ROI_ASSESSMENT.md
```

---

## PART 4: RISK ASSESSMENT

### Risk 1: Free Access Expiry (CRITICAL)

**Risk**: Kilo.ai free access expires Feb 19, 2026 (4 days)
**Impact**: Lose access to MiniMax M2.5 without testing
**Probability**: 100% (confirmed expiry date)
**Mitigation**: Run test script TODAY, activate Kilo.ai TOMORROW
**Status**: HIGH URGENCY

---

### Risk 2: NVIDIA NIM Free Tier Discontinuation (MEDIUM)

**Risk**: NVIDIA NIM describes MiniMax as "free for a limited time" (end date not specified)
**Impact**: Lose free 40 RPM capacity, force decision on paid access
**Probability**: UNKNOWN (no published end date)
**Mitigation**: Test NOW while free, prepare fallback to Gemini Flash
**Status**: MODERATE URGENCY

---

### Risk 3: Quality Not Worth Cost (LOW)

**Risk**: MiniMax M2.5 code quality not significantly better than Gemini Flash
**Impact**: Wasted testing time, no long-term integration
**Probability**: MODERATE (80.2% SWE-Bench is impressive but needs real-world validation)
**Mitigation**: Comparative testing during free period, documented quality assessment
**Status**: LOW RISK (free testing mitigates cost)

---

### Risk 4: TTS Cost Higher Than Telnyx (MEDIUM)

**Risk**: MiniMax TTS pay-per-use more expensive than Telnyx pay-per-minute for AIVA usage
**Impact**: Increased operational cost for AIVA voice responses
**Probability**: MODERATE (pricing not disclosed, need to test)
**Mitigation**: Test with real AIVA usage patterns, compare costs before switching
**Status**: MODERATE RISK (can revert to Telnyx if needed)

---

### Risk 5: Video/Image Quality Below Gemini Ultra Free Options (LOW)

**Risk**: MiniMax Hailuo-02 video quality below Veo 3.1, or Image Gen below Gemini
**Impact**: Unnecessary paid subscription when free options are better
**Probability**: LOW (both are frontier models, quality likely comparable)
**Mitigation**: Use free Gemini options FIRST, only test MiniMax if free options insufficient
**Status**: LOW RISK (Gemini Ultra already paid for, use those free options)

---

## PART 5: SUCCESS METRICS

### Metric 1: Testing Completion (Before Feb 19)

- [ ] Test script run successfully (6/6 tests pass)
- [ ] Kilo.ai account activated with M2.5 access
- [ ] 5 code samples generated and quality-assessed
- [ ] TTS tested with 3 emotions (if MiniMax API key obtained)
- [ ] Comparison documented: MiniMax vs Gemini Flash

**Success Criteria**: All tasks completed by Feb 18, 2026 (before free expiry)

---

### Metric 2: Code Quality Assessment

**Benchmark Tasks**:
1. Refactor Genesis module with type hints
2. Write unit tests for existing code
3. Implement data structure (LRU cache, binary tree, etc.)
4. Design microservices architecture
5. Optimize database queries

**Scoring**:
- **Code correctness**: Does it run without errors?
- **Code quality**: Clean, readable, well-structured?
- **Code completeness**: Handles edge cases?
- **Speed**: How fast is generation?
- **Comparison**: Better than Gemini Flash?

**Success Criteria**: MiniMax scores 4/5 or 5/5 on correctness, competitive on quality/speed

---

### Metric 3: Integration Feasibility

- [ ] MiniMax integrated into `core/gemini_rate_maximizer.py`
- [ ] Coding tasks routed to MiniMax automatically
- [ ] Cost tracking updated
- [ ] No breaking changes to existing Genesis workflows
- [ ] Performance comparable or better than Gemini Flash

**Success Criteria**: Integration complete, no regressions, cost-neutral or cost-positive

---

### Metric 4: ROI Assessment (Post-Free Period)

**Cost**:
- MiniMax M2.1 (NVIDIA NIM): Free (40 RPM) vs $0 (if free ends, switch to paid)
- MiniMax M2.5 (Direct API): $5-10/mo vs Gemini Flash $3-5/mo
- MiniMax TTS: $10-20/mo vs Telnyx (unknown current cost)

**Value**:
- Code quality improvement (80.2% SWE-Bench vs ~70%)
- Execution speed improvement (100 TPS vs ~80 TPS)
- Emotional TTS for AIVA (new capability)

**ROI Formula**:
```
ROI = (Value - Cost) / Cost

Positive ROI = Value > Cost → Integrate MiniMax
Neutral ROI = Value ≈ Cost → Either option acceptable
Negative ROI = Value < Cost → Stick with Gemini Flash
```

**Success Criteria**: ROI ≥ 0% (value equals or exceeds cost)

---

## PART 6: KNOWLEDGE GRAPH UPDATES

### New Entities

```jsonl
{"id": "minimax_ai", "type": "company", "name": "MiniMax AI", "country": "China", "focus": "Multimodal foundation models", "products": ["MiniMax M2.5", "Hailuo AI"], "positioning": "Cost-efficient AI for real-world productivity"}
{"id": "minimax_m2_5", "type": "ai_model", "name": "MiniMax M2.5", "provider": "MiniMax AI", "release_date": "2026-02-12", "parameters": "10B", "speed": "100 TPS", "benchmark": "80.2% SWE-Bench Verified", "capabilities": ["text", "code", "image", "video", "music"], "specialty": "Coding and multimodal generation"}
{"id": "minimax_m2_1", "type": "ai_model", "name": "MiniMax M2.1", "provider": "MiniMax AI", "capabilities": ["text", "code", "reasoning"], "free_access": "NVIDIA NIM (40 RPM)", "specialty": "Coding"}
{"id": "minimax_m2", "type": "ai_model", "name": "MiniMax M2", "provider": "MiniMax AI", "capabilities": ["text", "code"], "free_access": "NVIDIA NIM (40 RPM)"}
{"id": "minimax_speech_02_hd", "type": "tts_model", "name": "MiniMax Speech-02-HD", "provider": "MiniMax AI", "capabilities": ["tts", "emotion_control", "multilingual"], "max_chars": 10000, "emotions": ["happy", "sad", "angry", "fearful", "disgusted", "surprised", "neutral"], "formats": ["mp3", "pcm", "flac", "wav"]}
{"id": "hailuo_ai", "type": "product", "name": "Hailuo AI", "provider": "MiniMax AI", "purpose": "Video generation", "models": ["Hailuo-2.3", "Hailuo-2.3-Fast", "Hailuo-02"], "resolution": "1080p", "duration": "10 seconds", "pricing": "$9.99/mo Standard, $94.99/mo Unlimited"}
{"id": "hailuo_02", "type": "video_model", "name": "Hailuo-02", "provider": "MiniMax AI", "capabilities": ["text_to_video", "image_to_video"], "resolution": "1080p", "duration": 10, "quality": "Professional-grade cinematic"}
{"id": "kilo_ai", "type": "platform", "name": "Kilo.ai", "provider": "Kilo Org", "purpose": "AI coding assistant", "free_models": 500, "free_credits": "$5 instant, $20 bonus on first top-up", "minimax_m2_5_access": "Free until Feb 19, 2026", "url": "https://kilo.ai"}
{"id": "nvidia_nim", "type": "platform", "name": "NVIDIA NIM", "provider": "NVIDIA", "purpose": "GPU-accelerated AI inference", "free_rpm": 40, "free_credits": "1000 + request 4000 more", "minimax_access": "M2 and M2.1 (free for limited time)", "url": "https://build.nvidia.com"}
{"id": "minimax_mcp", "type": "integration", "name": "MiniMax MCP Server", "provider": "MiniMax AI", "protocol": "Model Context Protocol", "capabilities": ["tts", "image_gen", "video_gen", "voice_cloning"], "languages": ["TypeScript", "JavaScript"], "github": "https://github.com/MiniMax-AI/MiniMax-MCP"}
```

### New Relationships

```jsonl
{"source": "minimax_ai", "relationship": "develops", "target": "minimax_m2_5"}
{"source": "minimax_ai", "relationship": "develops", "target": "hailuo_ai"}
{"source": "minimax_m2_5", "relationship": "competes_with", "target": "gpt_4o"}
{"source": "minimax_m2_5", "relationship": "competes_with", "target": "claude_sonnet_4"}
{"source": "minimax_m2_5", "relationship": "competes_with", "target": "gemini_2_5_flash"}
{"source": "kilo_ai", "relationship": "provides_free_access", "target": "minimax_m2_5"}
{"source": "nvidia_nim", "relationship": "provides_free_access", "target": "minimax_m2_1"}
{"source": "nvidia_nim", "relationship": "provides_free_access", "target": "minimax_m2"}
{"source": "minimax_speech_02_hd", "relationship": "alternative_to", "target": "telnyx_naturalhd"}
{"source": "hailuo_02", "relationship": "competes_with", "target": "veo_3_1"}
{"source": "genesis_system", "relationship": "can_integrate", "target": "minimax_m2_5"}
{"source": "genesis_system", "relationship": "can_integrate", "target": "minimax_speech_02_hd"}
{"source": "genesis_execution_layer", "relationship": "can_route_to", "target": "minimax_m2_1"}
{"source": "aiva", "relationship": "could_use_tts", "target": "minimax_speech_02_hd"}
{"source": "receptionistai", "relationship": "could_use_video", "target": "hailuo_02"}
```

### New Axioms

```jsonl
{"id": "MINIMAX-001", "category": "model_capability", "axiom": "MiniMax M2.5 achieves 80.2% on SWE-Bench Verified, making it state-of-the-art for coding tasks among 10B parameter models", "source": "MiniMax Platform Docs, 2026-02-15 research", "confidence": 0.95}
{"id": "MINIMAX-002", "category": "cost_efficiency", "axiom": "MiniMax M2.5 costs $1/hour at 100 TPS, making it 10-30x cheaper than GPT-4o/Claude Sonnet for equivalent throughput", "source": "MiniMax pricing docs, 2026-02-15 research", "confidence": 0.90}
{"id": "MINIMAX-003", "category": "free_access", "axiom": "Kilo.ai provides free access to MiniMax M2.5 until Feb 19, 2026, after which access requires payment", "source": "Kilo.ai blog, 2026-02-15 research", "confidence": 1.0}
{"id": "MINIMAX-004", "category": "free_access", "axiom": "NVIDIA NIM provides free access to MiniMax M2/M2.1 at 40 RPM with 1000+ credits for a limited time (end date unspecified)", "source": "NVIDIA NIM docs, 2026-02-15 research", "confidence": 0.85}
{"id": "MINIMAX-005", "category": "tts_capability", "axiom": "MiniMax Speech-02-HD supports 7 emotion modes (happy, sad, angry, fearful, disgusted, surprised, neutral) with up to 10,000 characters per request", "source": "MiniMax TTS API docs, 2026-02-15 research", "confidence": 0.95}
{"id": "MINIMAX-006", "category": "multimodal", "axiom": "MiniMax M2.5 is a native multimodal model, integrating text, image, video, and music generation in a single unified architecture", "source": "MiniMax release notes, 2026-02-15 research", "confidence": 0.90}
{"id": "MINIMAX-007", "category": "video_generation", "axiom": "Hailuo-02 video model generates 1080p 10-second videos, with URLs valid for 9 hours after generation", "source": "MiniMax video API docs, 2026-02-15 research", "confidence": 0.95}
{"id": "MINIMAX-008", "category": "integration", "axiom": "MiniMax provides official MCP server implementations for TTS, image, and video generation, enabling Claude Code integration", "source": "GitHub MiniMax-MCP repo, 2026-02-15 research", "confidence": 0.90}
{"id": "MINIMAX-009", "category": "genesis_fit", "axiom": "MiniMax M2.1 (free via NVIDIA NIM) provides 40 RPM additional capacity for Genesis Execution Layer coding tasks at zero cost during free period", "source": "Genesis architecture + NVIDIA NIM limits, 2026-02-15 analysis", "confidence": 0.85}
{"id": "MINIMAX-010", "category": "urgency", "axiom": "Genesis has 4 days (until Feb 19, 2026) to test MiniMax M2.5 via Kilo.ai before free access expires, requiring immediate action", "source": "Kilo.ai blog + current date, 2026-02-15 analysis", "confidence": 1.0}
```

---

## CONCLUSION

MiniMax M2.5 represents a **high-capability, low-cost multimodal AI platform** with **temporary free access** expiring in 4 days. Genesis has a **narrow window** to test and evaluate before committing to paid access.

**Primary Value Propositions**:
1. **80.2% SWE-Bench Verified** - Best-in-class coding capability for 10B parameter model
2. **$1/hour @ 100 TPS** - 10-30x cheaper than GPT-4o/Claude Sonnet for equivalent throughput
3. **Free testing via Kilo.ai and NVIDIA NIM** - Zero-risk evaluation before payment
4. **Multimodal capabilities** - TTS, image, video, music in single platform
5. **40 RPM free capacity** - Additional swarm worker capacity via NVIDIA NIM

**Primary Risks**:
1. **4-day expiry** - Kilo.ai free access ends Feb 19, 2026
2. **Unknown NVIDIA NIM end date** - Free access could end anytime
3. **Unproven Genesis fit** - Code quality needs real-world validation
4. **Competing free options** - Gemini Ultra provides image (1,000/day) and video (5/day) for free

**Recommendation**:
✅ **TEST IMMEDIATELY** - Run test script today, activate Kilo.ai tomorrow
⚠️ **EVALUATE CAREFULLY** - Compare code quality vs Gemini Flash during free period
❌ **SKIP PAID VIDEO/IMAGE** - Use Gemini Ultra free options first (currently 0% utilized)
⚠️ **CONSIDER PAID TEXT** - Only if SWE-Bench quality justifies marginal cost increase

**Next Action**: Run `/mnt/e/genesis-system/scripts/test_minimax.py` TODAY.

---

## SOURCES

This report synthesizes findings from 5 comprehensive web searches conducted 2026-02-15:

**MiniMax Capabilities**:
- [MiniMax M2.5 Guide](https://vertu.com/ai-tools/minimax-m2-5-released-a-comprehensive-guide-to-the-new-multimodal-ai-powerhouse/)
- [China's MiniMax releases cheap AI model](https://www.scmp.com/tech/article/3343395/chinas-minimax-releases-cheap-ai-model-designed-real-world-productivity)
- [MiniMax M2.5 - API, Providers, Stats | OpenRouter](https://openrouter.ai/minimax/minimax-m2.5)
- [Day 0 Support: MiniMax-M2.5 | liteLLM](https://docs.litellm.ai/blog/minimax_m2_5)
- [MiniMax M2.5 for AI Coding Tools](https://platform.minimax.io/docs/guides/text-ai-coding-tools)

**Kilo.ai Integration**:
- [Using MiniMax With Kilo Code](https://kilo.ai/docs/ai-providers/minimax)
- [How to Use MiniMax 2.5 for Free](https://onedollarvps.com/blogs/how-to-use-minimax-v2-5-free)
- [Kilo Gateway](https://kilo.ai/gateway)

**NVIDIA NIM**:
- [minimaxai / minimax-m2.1](https://docs.api.nvidia.com/nim/reference/minimaxai-minimax-m2.1)
- [Access to NVIDIA NIM Now Available Free](https://developer.nvidia.com/blog/access-to-nvidia-nim-now-available-free-to-developer-program-members/)
- [Free Access to Top AI Models](https://lertechnotes.substack.com/p/free-access-to-top-ai-models-glm47)
- [How to Use MiniMax M2.5 for Free in 2026](https://vpssos.com/minimax-m2.5-free-access/)

**TTS & Multimodal**:
- [Text to Speech (T2A) - MiniMax API Docs](https://platform.minimax.io/docs/api-reference/speech-t2a-intro)
- [GitHub - MiniMax-AI/MiniMax-MCP](https://github.com/MiniMax-AI/MiniMax-MCP)
- [MiniMax Speech-02 HD | fal.ai](https://fal.ai/models/fal-ai/minimax/speech-02-hd/api)
- [The Video-01 API release](https://www.minimax.io/news/video-generation-api)

**Genesis Context**:
- Genesis Stack Capacity Register (Section 4, lines 164-197)
- Gemini Ultra Untapped Potential Report (no MiniMax refs)
- Genesis Master PRD (execution layer architecture)

---

*Last Updated: 2026-02-15*
*Version: 1.0.0*
*Authority: CTM Protocol - Research-backed comprehensive analysis*
*Urgency: CRITICAL - Free access expires Feb 19, 2026 (4 days)*
