Model Comparison

MiniMax M2.5 vs Qwen3.7 MaxWhich is better in 2026?

Qwen3.7 Max significantly outperforms across most benchmarks. MiniMax M2.5 is 3.6x cheaper per token.

Verdict: MiniMax M2.5 vs Qwen3.7 Max — which is better?

MiniMax M2.5 (by MiniMax) and Qwen3.7 Max (by Alibaba Cloud / Qwen Team) 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.

MiniMax M2.5 outperforms in 0 benchmarks, while Qwen3.7 Max is better at 2 benchmarks (SWE-Bench Pro, SWE-Bench Verified). Qwen3.7 Max significantly outperforms across most benchmarks.

On price, MiniMax M2.5 is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose MiniMax M2.5 if…

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

Choose Qwen3.7 Max if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped May 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiniMax M2.5 outperforms in 0 benchmarks, while Qwen3.7 Max is better at 2 benchmarks (SWE-Bench Pro, SWE-Bench Verified).

Qwen3.7 Max significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.5 costs less

For input processing, MiniMax M2.5 ($0.30/1M tokens) is 4.2x cheaper than Qwen3.7 Max ($1.25/1M tokens).

For output processing, MiniMax M2.5 ($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 M2.5.*

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

Lowest available price from all providers
Sun Jul 26 2026 • llm-stats.com
MiniMax
MiniMax M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Sun Jul 26 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2.5 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.

MiniMax M2.5

MIT

Open weights

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

MiniMax M2.5 was released on 2026-02-12, while Qwen3.7 Max was released on 2026-05-19.

Qwen3.7 Max is 3 months newer than MiniMax M2.5.

MiniMax M2.5

Feb 12, 2026

5 months ago

Qwen3.7 Max

May 19, 2026

2 months ago

3mo newer

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

MiniMax M2.5 is available from MiniMax. Qwen3.7 Max is available from Novita, Together.

MiniMax M2.5

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights
Alibaba Cloud / Qwen Team

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Higher SWE-Bench Pro score (60.6% vs 55.4%)
Higher SWE-Bench Verified score (80.4% vs 80.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M2.5 and Qwen3.7 Max side-by-side, then vote on the output you prefer.

MiniMax M2.5
✓ Preferred
Qwen3.7 Max
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M2.5
Alibaba Cloud / Qwen Team
Qwen3.7 Max

FAQ

Common questions about MiniMax M2.5 vs Qwen3.7 Max.

Which is better, MiniMax M2.5 or Qwen3.7 Max?

Qwen3.7 Max significantly outperforms across most benchmarks. MiniMax M2.5 is made by MiniMax and Qwen3.7 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiniMax M2.5 compare to Qwen3.7 Max in benchmarks?

MiniMax M2.5 scores SWE-Bench Verified: 80.2%, BFCL_v3_MultiTurn: 76.8%, BrowseComp: 76.3%, MEWC: 74.4%, GDPval-MM: 59.0%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is MiniMax M2.5 cheaper than Qwen3.7 Max?

MiniMax M2.5 is 4.2x cheaper for input tokens. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for MiniMax M2.5 and Qwen3.7 Max?

MiniMax M2.5 supports 1.0M tokens and Qwen3.7 Max supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2.5 and Qwen3.7 Max?

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

Who makes MiniMax M2.5 and Qwen3.7 Max?

MiniMax M2.5 is developed by MiniMax and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.

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