MiniMax M2.5 vs Qwen3-235B-A22B-Thinking-2507 Comparison

Comparing MiniMax M2.5 and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2.5 and Qwen3-235B-A22B-Thinking-2507 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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) costs the same as Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

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

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

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
MiniMax
MiniMax M2.5
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 M2.5, making it 2.2% larger.

MiniMax
MiniMax M2.5
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
230.0B
MiniMax M2.5
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

MiniMax M2.5 accepts 1,000,000 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Qwen3-235B-A22B-Thinking-2507 is limited to 131,072 tokens.

MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Sun Mar 15 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2.5 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 M2.5

MIT

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2.5 was released on 2026-02-12, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

MiniMax M2.5 is 7 months newer than Qwen3-235B-A22B-Thinking-2507.

MiniMax M2.5

Feb 12, 2026

1 months ago

6mo newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

7 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 M2.5 is available from MiniMax. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita. The availability of providers can affect quality of the model and reliability.

MiniMax M2.5

minimax logo
MiniMax
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

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Key Takeaways

Larger context window (1,000,000 tokens)
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.5
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507