MiniMax M3 vs DeepSeek V4 Pro Max vs Kimi K2.6 June 2026
MiniMax M3 vs DeepSeek V4 Pro Max vs Kimi K2.6 June 2026
The three top Chinese open-weight models — MiniMax M3 (released June 1), DeepSeek V4 Pro Max, and Kimi K2.6 — have collectively reset the price-performance frontier in 2026. All three beat GPT-5.5 on at least one major benchmark while costing 5-10% as much. Here’s the head-to-head.
Last verified: June 6, 2026
Side-by-side comparison
| Feature | MiniMax M3 | DeepSeek V4 Pro Max | Kimi K2.6 (Moonshot) |
|---|---|---|---|
| Released | June 1, 2026 | Spring 2026 | Spring 2026 |
| License | Open-weight (commercial restrictions) | Open-weight (permissive) | Open-weight (restrictions) |
| Context window | 1M tokens | 256K tokens | 2M tokens |
| Multimodality | ✅ Native | ⚠️ Limited | ⚠️ Limited |
| API input price | ~$0.30/M | ~$0.25/M | ~$0.20/M |
| API output price | ~$1.20/M | ~$1.10/M | ~$0.80/M |
| SWE-Bench Pro | ~71% | ~69% | ~64% |
| FrontierMath | Mid | ✅ Strongest | Mid |
| Long-form writing | Good | Mid | ✅ Strongest |
| Chinese-language tasks | Strong | Strong | ✅ Strongest |
| Agentic tool use | ✅ Strong | Good | Mid |
| Best ecosystem fit | Multi-agent platforms (Mavis) | Reasoning + coding | Writing, research, long docs |
Where each one wins
MiniMax M3 — best agentic coder
- Top SWE-Bench Pro score among open-weight models
- Native multimodality (image + text in/out)
- 1M token context with strong recall
- Built for the Mavis multi-agent platform from day one
- Best for: AI agents, coding assistants, multi-step workflows
DeepSeek V4 Pro Max — best reasoning brain
- Strongest open-weight model on math and reasoning benchmarks
- Most permissive open-weight license
- Tightest ecosystem in research labs (HuggingFace, vLLM, etc.)
- DeepSeek V4 Flash variant for cost-sensitive inference
- Best for: Math, research, scientific computing, reasoning-heavy tasks
Kimi K2.6 — best long-context and writing
- 2M token context window (largest in the comparison)
- Strongest long-form writing and document understanding
- Best Chinese-language performance among the three
- Moonshot AI’s $20B valuation supports continued investment
- Best for: Long document analysis, writing assistants, Chinese-market products
Pricing comparison vs US frontier
Cost per 1M output tokens (June 2026):
| Model | Output cost | Multiple vs M3 |
|---|---|---|
| Kimi K2.6 | $0.80 | 0.7x |
| DeepSeek V4 Pro Max | $1.10 | 0.9x |
| MiniMax M3 | $1.20 | 1.0x |
| MiniMax M3 (subscription, $20/mo) | Effectively unmetered for moderate use | — |
| GPT-5.5 | $12 | 10x |
| Claude Opus 4.8 | $25 | 21x |
| Gemini 3.1 Pro | $15 | 12.5x |
The pricing gap is the headline. For a coding agent producing 5M output tokens daily:
- Kimi K2.6: ~$4/day
- DeepSeek V4 Pro Max: ~$5.50/day
- MiniMax M3: ~$6/day
- GPT-5.5: ~$60/day
- Claude Opus 4.8: ~$125/day
Self-hosting considerations
All three are self-hostable, with rough GPU requirements:
| Model | Full precision | 4-bit quantized | Realistic minimum |
|---|---|---|---|
| MiniMax M3 | 4-8x H200 | 2x H100 | 2x H100 |
| DeepSeek V4 Pro Max | 4-8x H200 | 2-4x H100 | 4x H100 |
| Kimi K2.6 | 4-8x H200 | 2x H100 | 2x H100 |
For most teams, hosted APIs via the providers’ international endpoints (api.deepseek.com, api.moonshot.ai, MiniMax API) or via OpenRouter are more practical than self-hosting. Self-hosting wins for:
- Data control (regulated industries, sensitive customer data)
- Cost predictability at very high volumes
- Custom fine-tuning needs
- Air-gapped environments
Compliance and data routing
For US/EU companies, key questions:
- Where does your API data route? Verify with your provider — many offer non-China endpoints
- What’s in your DPA? Open-weight models hosted via OpenRouter give you a US/EU intermediary
- Are you in a regulated industry? HIPAA, PCI-DSS, EU AI Act compliance is easier with US providers or self-hosting
- What about EU AI Act? Open-weight models have specific provisions; check if you’re a “deployer” or “provider” under the act
Pick-by-use-case
”I’m building an autonomous coding agent on a budget”
Winner: MiniMax M3. Top open-weight SWE-Bench score, native multimodality, 1M context, $20/mo subscription tier. The best agentic value in mid-2026.
”I need maximum reasoning ability open-weight”
Winner: DeepSeek V4 Pro Max. Strongest math and FrontierMath performance. Most permissive license. The model researchers reach for.
”I’m analyzing long documents or building a writing tool”
Winner: Kimi K2.6. 2M context, strongest long-form writing, cheapest of the three. The default choice for long-document workloads.
”I’m building for the Chinese market”
Winner: Kimi K2.6 or MiniMax M3. Strongest Chinese-language performance, native compliance with Chinese AI regulations, mainland-China hosting available.
”I’m in regulated US/EU industry”
None of the above as your primary. Stick with Claude Opus 4.8 or GPT-5.5 for regulated workloads. Consider these Chinese models for non-regulated batch processing or research.
Bottom line
In June 2026, MiniMax M3 is the new default Chinese open-weight model for agentic coding workloads, with DeepSeek V4 Pro Max for reasoning and Kimi K2.6 for writing/long-context. All three offer 10-20x cost savings vs US frontier APIs at competitive benchmark performance. For non-regulated workloads, the smart play is using these alongside Claude or GPT for the highest-stakes tasks — letting Chinese open-weight handle the bulk.