Model Comparison

MiniMax M1 40K vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks.

Verdict: MiniMax M1 40K vs Qwen3-235B-A22B-Thinking-2507 — which is better?

MiniMax M1 40K (by MiniMax) and Qwen3-235B-A22B-Thinking-2507 (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 M1 40K outperforms in 1 benchmarks (TAU-bench Airline), while Qwen3-235B-A22B-Thinking-2507 is better at 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, MMLU-Pro). Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks.

Choose MiniMax M1 40K if…

  • you are already invested in the MiniMax ecosystem

Choose Qwen3-235B-A22B-Thinking-2507 if…

  • you want the strongest raw capability — it leads on 5 of 6 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

MiniMax M1 40K outperforms in 1 benchmarks (TAU-bench Airline), while Qwen3-235B-A22B-Thinking-2507 is better at 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, MMLU-Pro).

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks.

Mon Jul 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

221.0B diff

MiniMax M1 40K has 221.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 94.0% larger.

MiniMax
MiniMax M1 40K
456.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
456.0B
MiniMax M1 40K
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Mon Jul 13 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M1 40K is licensed under MIT, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

MiniMax M1 40K

MIT

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M1 40K was released on 2025-06-16, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 1 month newer than MiniMax M1 40K.

MiniMax M1 40K

Jun 16, 2025

1.1 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

11 months ago

1mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher TAU-bench Airline score (60.0% vs 46.0%)
Larger context window (262,144 tokens)
Higher AIME 2025 score (92.3% vs 74.6%)
Higher GPQA score (81.1% vs 69.2%)
Higher Humanity's Last Exam score (18.2% vs 7.2%)
Higher MMLU-Pro score (84.4% vs 80.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M1 40K and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

MiniMax M1 40K
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M1 40K
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about MiniMax M1 40K vs Qwen3-235B-A22B-Thinking-2507.

Which is better, MiniMax M1 40K or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks. MiniMax M1 40K is made by MiniMax and Qwen3-235B-A22B-Thinking-2507 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 M1 40K compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

What are the context window sizes for MiniMax M1 40K and Qwen3-235B-A22B-Thinking-2507?

MiniMax M1 40K supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M1 40K and Qwen3-235B-A22B-Thinking-2507?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 40K and Qwen3-235B-A22B-Thinking-2507?

MiniMax M1 40K is developed by MiniMax and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.