Model comparison
MiMo-V2.5 vs Qwen2.5 7B Instruct
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where MiMo-V2.5 leads 36.8 to 12.6.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 131K.
Side by side
| MiMo-V2.5 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.4 | 29.0 |
| Released | 2026-04-22 | 2024-09 |
| Weights | Open | Open |
| Context window | 1.05M | 131K |
| Max output | 131K | 8K |
| Input $ / M tokens | $0.14 | $0.17 |
| Output $ / M tokens | $0.28 | $0.70 |
| Results tracked | 23 | 15 |
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Category by category
Coding MiMo-V2.5 leads
MiMo-V2.5: 43.9 (#81), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1438 | — |
| SciCode | 43.1% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1469 | — |
| BigCodeBench Complete | — | 46.1% |
| ALE-Bench | 513.95 | — |
Agentic & Tool Use Not comparable
MiMo-V2.5: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning MiMo-V2.5 leads
MiMo-V2.5: 28.6 (#101), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| CritPt | 3.7% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1450 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math MiMo-V2.5 leads
MiMo-V2.5: 36.8 (#163), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| ProofBench | 16% | — |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1436 | — |
Knowledge MiMo-V2.5 leads
MiMo-V2.5: 40.8 (#115), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1460 | — |
| MMLU | — | 72.9% |
Multimodal Not comparable
MiMo-V2.5: 39.8 (#54), Qwen2.5 7B Instruct: —
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1247 | — |
Multilingual Not comparable
MiMo-V2.5: 51.9 (#99), Qwen2.5 7B Instruct: —
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1468 | — |
| LMArena French | 1447 | — |
| LMArena German | 1421 | — |
| LMArena Japanese | 1306 | — |
| LMArena Korean | 1363 | — |
| LMArena Russian | 1395 | — |
| LMArena Spanish | 1416 | — |
Instruction Following MiMo-V2.5 leads
MiMo-V2.5: 75.5 (#60), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1434 | — |
Long Context Not comparable
MiMo-V2.5: 44.2 (#73), Qwen2.5 7B Instruct: —
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1445 | — |
Writing & Preference MiMo-V2.5 leads
MiMo-V2.5: 61.6 (#86), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | MiMo-V2.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1393 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2.5 better than Qwen2.5 7B Instruct?
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 29.0 on the Noometry Index.
Which is cheaper, MiMo-V2.5 or Qwen2.5 7B Instruct?
MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.
Is MiMo-V2.5 or Qwen2.5 7B Instruct better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5 does, with 1.05M tokens against 131K.
How many benchmarks do MiMo-V2.5 and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Qwen2.5 7B Instruct has 15.