Model Comparison

Qwen3.7 Max vs MiniMax M2.7Which is better in 2026?

Qwen3.7 Max significantly outperforms across most benchmarks. MiniMax M2.7 is 3.6x cheaper per token.

Verdict: Qwen3.7 Max vs MiniMax M2.7 — which is better?

Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and MiniMax M2.7 (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 6 benchmarks (Finance Agent v2, GDPval-AA, NL2Repo, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0), while MiniMax M2.7 is better at 0 benchmarks. Qwen3.7 Max significantly outperforms across most benchmarks.

On price, MiniMax M2.7 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 6 of 6 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped May 2026

Choose MiniMax M2.7 if…

  • cost matters — it's about 3.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Qwen3.7 Max outperforms in 6 benchmarks (Finance Agent v2, GDPval-AA, NL2Repo, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0), while MiniMax M2.7 is better at 0 benchmarks.

Qwen3.7 Max significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, Qwen3.7 Max ($1.25/1M tokens) is 4.2x more expensive than MiniMax M2.7 ($0.30/1M tokens).

For output processing, Qwen3.7 Max ($3.75/1M tokens) is 3.1x more expensive than MiniMax M2.7 ($1.20/1M tokens).

In conclusion, Qwen3.7 Max is more expensive than MiniMax M2.7.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.7 Max accepts 1,000,000 input tokens compared to MiniMax M2.7's 196,608 tokens. MiniMax M2.7 can generate longer responses up to 196,608 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

Qwen3.7 Max is licensed under a proprietary license, while MiniMax M2.7 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3.7 Max

Proprietary

Closed source

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while MiniMax M2.7 was released on 2026-03-18.

Qwen3.7 Max is 2 months newer than MiniMax M2.7.

Qwen3.7 Max

May 19, 2026

1 months ago

2mo newer
MiniMax M2.7

Mar 18, 2026

4 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3.7 Max is available from Novita, Together. MiniMax M2.7 is available from Fireworks, MiniMax, Novita.

Qwen3.7 Max

novita logo
Novita
Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M

MiniMax M2.7

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)
Higher Finance Agent v2 score (48.4% vs 27.9%)
Higher GDPval-AA score (43.6% vs 39.3%)
Higher NL2Repo score (47.2% vs 39.8%)
Higher SWE-bench Multilingual score (78.3% vs 76.5%)
Higher SWE-Bench Pro score (60.6% vs 56.2%)
Higher Terminal-Bench 2.0 score (69.7% vs 57.0%)
MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.7 Max and MiniMax M2.7 side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
MiniMax M2.7
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.7 Max
MiniMax
MiniMax M2.7

FAQ

Common questions about Qwen3.7 Max vs MiniMax M2.7.

Which is better, Qwen3.7 Max or MiniMax M2.7?

Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and MiniMax M2.7 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.7 Max compare to MiniMax M2.7 in benchmarks?

Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%. MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.

Is Qwen3.7 Max cheaper than MiniMax M2.7?

MiniMax M2.7 is 4.2x cheaper for input tokens. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita. MiniMax M2.7 costs $0.30/M input and $1.20/M output via fireworks.

What are the context window sizes for Qwen3.7 Max and MiniMax M2.7?

Qwen3.7 Max supports 1.0M tokens and MiniMax M2.7 supports 197K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.7 Max and MiniMax M2.7?

Key differences include context window (1.0M vs 197K), input pricing ($1.25 vs $0.30/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.7 Max and MiniMax M2.7?

Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team and MiniMax M2.7 is developed by MiniMax.

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