Model comparison
MiMo-V2-Flash vs Qwen2.5 32B Instruct
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 30.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where MiMo-V2-Flash leads 38.3 to 16.2.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- MiMo-V2-Flash accepts more context: 262K tokens versus 131K.
Side by side
| MiMo-V2-Flash | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 41.3 | 30.1 |
| Released | 2025-12-16 | 2024-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.14 | $0.70 |
| Output $ / M tokens | $0.28 | $2.80 |
| Results tracked | 21 | 7 |
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Category by category
Coding Qwen2.5 32B Instruct leads
MiMo-V2-Flash: 36.1 (#211), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena WebDev | 1330 | — |
| SciCode | 25.9% | — |
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1443 | — |
| BigCodeBench Complete | — | 52.3% |
| ALE-Bench | 737.95 | — |
Reasoning MiMo-V2-Flash leads
MiMo-V2-Flash: 24.9 (#157), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1420 | — |
| Epoch Capabilities Index | — | 128.52 |
Math MiMo-V2-Flash leads
MiMo-V2-Flash: 38.3 (#139), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1396 | — |
| MATH Level 5 | — | 56.1% |
Knowledge MiMo-V2-Flash leads
MiMo-V2-Flash: 39.7 (#131), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1425 | — |
Multilingual Not comparable
MiMo-V2-Flash: 51.0 (#113), Qwen2.5 32B Instruct: —
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1392 | — |
| LMArena Chinese | 1462 | — |
| LMArena French | 1429 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1325 | — |
| LMArena Korean | 1358 | — |
| LMArena Russian | 1387 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
MiMo-V2-Flash: 73.5 (#120), Qwen2.5 32B Instruct: —
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1392 | — |
Long Context Not comparable
MiMo-V2-Flash: 43.0 (#110), Qwen2.5 32B Instruct: —
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1409 | — |
Writing & Preference Not comparable
MiMo-V2-Flash: 59.7 (#106), Qwen2.5 32B Instruct: —
| Benchmark | MiMo-V2-Flash | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1411 | — |
| LMArena Creative Writing | 1375 | — |
| LMArena Multi-Turn | 1404 | — |
Frequently asked questions
Is MiMo-V2-Flash better than Qwen2.5 32B Instruct?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 30.1 on the Noometry Index.
Which is cheaper, MiMo-V2-Flash or Qwen2.5 32B Instruct?
MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.
Is MiMo-V2-Flash or Qwen2.5 32B Instruct better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 36.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Flash does, with 262K tokens against 131K.
How many benchmarks do MiMo-V2-Flash and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Qwen2.5 32B Instruct has 7.