Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.5
Coming soon
0/8 categoriesQwen3.5-35B-A3B
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Winner · 0/8 categoriesMiniMax M2.5· Qwen3.5-35B-A3B
Benchmark data for MiniMax M2.5 and Qwen3.5-35B-A3B is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for MiniMax M2.5 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
MiniMax M2.5 is priced at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. Qwen3.5-35B-A3B has the larger context window at 262K, compared with 128K for MiniMax M2.5.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | MiniMax M2.5 | Qwen3.5-35B-A3B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 40.5% |
| BrowseComp | — | 61% |
| OSWorld-Verified | — | 54.5% |
| tau2-bench | — | 81.2% |
| Coding | ||
| SWE-bench Verified | — | 69.2% |
| LiveCodeBench | — | 74.6% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 75.1% |
| Reasoning | ||
| LongBench v2 | — | 59% |
| Knowledge | ||
| MMLU-Pro | — | 85.3% |
| SuperGPQA | — | 63.4% |
| GPQA | — | 84.2% |
| Instruction Following | ||
| IFEval | — | 91.9% |
| Multilingual | ||
| MMLU-ProX | — | 81% |
| Mathematics | ||
| Coming soon | ||
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
MiniMax M2.5: $0.30 input / $1.20 output per 1M tokens Qwen3.5-35B-A3B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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