Compare / Qwen3 235B A22B Thinking 2507 vs MiMo-V2.5-Pro
Qwen3 235B A22B Thinking 2507 vs MiMo-V2.5-Pro
Which is cheaper, which is more capable, and which does better at each kind of work, from 21 results on 3 sources that measured both models.
Qwen3 235B A22B Thinking 2507 or MiMo-V2.5-Pro? The short answer
- MiMo-V2.5-Pro is cheaper: $0.54 against $0.97 per million tokens, 44% less.
- MiMo-V2.5-Pro scores higher on the Artificial Analysis Intelligence Index: 26.0 against 12.7.
- On our business benchmarks, MiMo-V2.5-Pro ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
At a glance
| Qwen3 235B A22B Thinking 2507 | MiMo-V2.5-Pro | |
|---|---|---|
| Price per million tokens | $0.30 in · $3.00 out | $0.43 in · $0.87 out |
| Blended (3 in : 1 out) | $0.97 | $0.54 |
| Cheapest host, blended | $0.75 (Alibaba) | $0.38 (GMICloud, BF16) |
| Intelligence Index | 12.7 | 26.0 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 1,050,000 tokens |
| Weights | Open | Open |
| Developer based in | China | China |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | Qwen3 235B A22B Thinking 2507 | MiMo-V2.5-Pro |
|---|---|---|
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 134 of 161 | 86 of 161 |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 113 of 195 | 60 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 120 of 187 | 41 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 93 of 153 | 28 of 153 |
Every shared result
| Benchmark | Metric | Qwen3 235B A22B Thinking 2507 | MiMo-V2.5-Pro |
|---|---|---|---|
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,404 | 1,471 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,370 | 1,435 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,466 | 1,506 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,385 | 1,469 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,400 | 1,467 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,377 | 1,450 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 22.1 | 60.2 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 12.7 | 26.0 |
| Artificial Analysisreported | GPQA Diamond% of questions | 79.0% | 86.6% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 15.9% | 35.7% |
| Artificial Analysisreported | IFBench% of instructions | 51.2% | 79.9% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 72.0% | 79.7% |
| Artificial Analysisreported | SciCode% of problems | 41.4% | 50.6% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 12.0% | 65.2% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.0% | 0.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 13.6% | 43.2% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 7.8% | 9.9% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 53.2% | 94.2% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 30.0% | 8.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.31 | 0.40 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 32.4 | 57.4 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is Qwen3 235B A22B Thinking 2507 better than MiMo-V2.5-Pro?
It depends on the task. Among models available today, on our benchmarks and licensed sources, MiMo-V2.5-Pro ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
Which is cheaper, Qwen3 235B A22B Thinking 2507 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro costs $0.54 per million tokens (three input to one output), against $0.97 for Qwen3 235B A22B Thinking 2507.
Run Qwen3 235B A22B Thinking 2507 and MiMo-V2.5-Pro on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.