Model Comparison

MiniMax M2 vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. MiniMax M2 is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

MiniMax M2 outperforms in 1 benchmarks (Tau2 Telecom), 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 significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2 costs less

For input processing, MiniMax M2 ($0.30/1M tokens) costs the same as Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, MiniMax M2 ($1.20/1M tokens) is 2.5x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than MiniMax M2.*

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

5.0B diff

Qwen3-235B-A22B-Thinking-2507 has 5.0B more parameters than MiniMax M2, making it 2.2% larger.

MiniMax
MiniMax M2
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
230.0B
MiniMax M2
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Qwen3-235B-A22B-Thinking-2507 is limited to 131,072 tokens.

MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2 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 M2

MIT

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2 was released on 2025-10-27, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

MiniMax M2 is 3 months newer than Qwen3-235B-A22B-Thinking-2507.

MiniMax M2

Oct 27, 2025

6 months ago

3mo newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 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

MiniMax M2 is available from MiniMax, Novita. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

MiniMax M2

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

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

MiniMax
Larger context window (1,000,000 tokens)
Less expensive output tokens
Higher Tau2 Telecom score (87.0% vs 45.6%)
Alibaba Cloud / Qwen Team
Higher AIME 2025 score (92.3% vs 78.0%)
Higher GPQA score (81.1% vs 78.0%)
Higher Humanity's Last Exam score (18.2% vs 12.5%)
Higher MMLU-Pro score (84.4% vs 82.0%)

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about MiniMax M2 vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. MiniMax M2 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.
MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%. 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%.
Both models cost $0.30 per million input tokens.
MiniMax M2 supports 1.0M 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.
Key differences include context window (1.0M vs 262K), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
MiniMax M2 is developed by MiniMax and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.