MiniMax M3 vs Qwen3.7 Max
MiniMax M3 and Qwen3.7 Max are closely matched at 41.4 and 45.4 on the LLM Stats Score. MiniMax M3 is 3.6x cheaper per token.
MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiniMax M3 and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 41.4 and 45.4.
In the 8 individual benchmarks reported for both models, Qwen3.7 Max wins 5; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiniMax M3
- 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
Choose Qwen3.7 Max
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 8 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
35 reported for MiniMax M3 · 42 for Qwen3.7 Max
MiniMax M3 outperforms in 3 benchmarks (Claw-Eval, SpreadSheetBench-v1, SWE-Bench Verified), while Qwen3.7 Max is better at 5 benchmarks (Finance Agent v2, LiveBench, MCP Atlas, NL2Repo, SWE-Bench Pro).
Qwen3.7 Max shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M3 ($0.30/1M tokens) is 4.2x cheaper than Qwen3.7 Max ($1.25/1M tokens).
For output processing, MiniMax M3 ($1.20/1M tokens) is 3.1x cheaper than Qwen3.7 Max ($3.75/1M 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
Documented input modalities across available providers
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.
MiniMax M3
Qwen3.7 Max
License
Usage and distribution terms
MiniMax M3 is licensed under MIT, while Qwen3.7 Max uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M3 was released on 2026-06-01, while Qwen3.7 Max was released on 2026-05-19.
MiniMax M3 is 0 month newer than Qwen3.7 Max.
Jun 1, 2026
3 months ago
1w newerMay 19, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M3 is available from Fireworks, MiniMax, Novita, Together. Qwen3.7 Max is available from Novita, Together.
MiniMax M3
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M3 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M3 vs Qwen3.7 Max.