MiniMax M2 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | MiniMax M2 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | MiniMax | Alibaba |
| Release Date | October 26, 2025 | July 24, 2025 |
| Parameters | 230B | 235B |
| Multimodal | No | No |
| Context (input) | 1.0M | 256K |
| Context (output) | 100K | 131K |
| Input Price / 1M | $1.00 | $0.30 |
| Output Price / 1M | $4.00 | $3.00 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| AIME 2025 | 0.8 | 0.9 |
Visual Benchmark Comparison
MiniMax M2
Qwen3-235B-A22B-Thinking-2507
AIME 20250.8 vs 0.9
0.8
0.9
Verdict
MiniMax M2 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: MiniMax M2 — 0.8, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
Qwen3-235B-A22B-Thinking-2507 is 1.5x cheaper: input $0.30/1M vs $1.00/1M tokens.
Context Window
MiniMax M2 supports a larger context: 1M vs 256K tokens.
Recency
MiniMax M2 is newer: released 10/26/2025 vs 7/24/2025.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — MiniMax M2 or Qwen3-235B-A22B-Thinking-2507?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — MiniMax M2 or Qwen3-235B-A22B-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 is cheaper for input: $0.30 per 1M tokens vs $1.00.
Which has a larger context window — MiniMax M2 or Qwen3-235B-A22B-Thinking-2507?
MiniMax M2 supports a larger context: 1,000,000 tokens vs 256,000.
The MiniMax M2 and Qwen3-235B-A22B-Thinking-2507 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiniMax M2 or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.