Model Comparison
Qwen3.7 Max vs MiniMax M3Which is better in 2026?
Qwen3.7 Max has a slight edge in benchmark performance. MiniMax M3 is 3.6x cheaper per token.
Verdict: Qwen3.7 Max vs MiniMax M3 — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and MiniMax M3 (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3.7 Max outperforms in 5 benchmarks (Finance Agent v2, LiveBench, MCP Atlas, NL2Repo, SWE-Bench Pro), while MiniMax M3 is better at 4 benchmarks (Claw-Eval, GDPval-AA, SpreadSheetBench-v1, SWE-Bench Verified). Qwen3.7 Max has a slight edge in benchmark performance.
On price, MiniMax M3 is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.7 Max if…
- you want the strongest raw capability — it leads on 5 of 9 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
Choose MiniMax M3 if…
- cost matters — it's about 3.6x cheaper per token
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 5 benchmarks (Finance Agent v2, LiveBench, MCP Atlas, NL2Repo, SWE-Bench Pro), while MiniMax M3 is better at 4 benchmarks (Claw-Eval, GDPval-AA, SpreadSheetBench-v1, SWE-Bench Verified).
Qwen3.7 Max has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 4.2x more expensive than MiniMax M3 ($0.30/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 3.1x more expensive than MiniMax M3 ($1.20/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than MiniMax M3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7 Max accepts 1,000,000 input tokens compared to MiniMax M3's 512,000 tokens. MiniMax M3 can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
MiniMax M3 supports multimodal inputs, whereas Qwen3.7 Max does not.
MiniMax M3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
MiniMax M3
License
Usage and distribution terms
Qwen3.7 Max is licensed under a proprietary license, while MiniMax M3 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Qwen3.7 Max was released on 2026-05-19, while MiniMax M3 was released on 2026-06-01.
MiniMax M3 is 0 month newer than Qwen3.7 Max.
May 19, 2026
1 months ago
Jun 1, 2026
1 months ago
1w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.7 Max is available from Novita, Together. MiniMax M3 is available from Fireworks, Novita, Together, MiniMax.
Qwen3.7 Max
MiniMax M3
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
MiniMax M3
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and MiniMax M3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs MiniMax M3.