Model comparison
MiMo-V2-Flash vs Qwen3.5-9B
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 33.8 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when MiMo-V2-Flash's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. MiMo-V2-Flash scores higher in 3 categories and Qwen3.5-9B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 39.7.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Flash.
Side by side
| MiMo-V2-Flash | Qwen3.5-9B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 41.3 | 33.8 |
| Released | 2025-12-16 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.14 | $0.10 |
| Output $ / M tokens | $0.28 | $0.15 |
| Results tracked | 21 | 10 |
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Category by category
Coding Too close to call
MiMo-V2-Flash: 36.1 (#211), Qwen3.5-9B: 35.9 (#217)
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| SciCode | 25.9% | 27.5% |
| LMArena WebDev | 1330 | — |
| LMArena Coding | 1443 | — |
| ALE-Bench | 737.95 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Flash: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning MiMo-V2-Flash leads
MiMo-V2-Flash: 24.9 (#157), Qwen3.5-9B: 23.1 (#182)
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| CritPt | 0% | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1420 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math MiMo-V2-Flash leads
MiMo-V2-Flash: 38.3 (#139), Qwen3.5-9B: 34.8 (#192)
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1396 | — |
Knowledge Qwen3.5-9B leads
MiMo-V2-Flash: 39.7 (#131), Qwen3.5-9B: 46.0 (#84)
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1425 | — |
Multilingual Not comparable
MiMo-V2-Flash: 51.0 (#113), Qwen3.5-9B: —
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| 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), Qwen3.5-9B: —
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1392 | — |
Long Context Not comparable
MiMo-V2-Flash: 43.0 (#110), Qwen3.5-9B: —
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1409 | — |
Writing & Preference Not comparable
MiMo-V2-Flash: 59.7 (#106), Qwen3.5-9B: —
| Benchmark | MiMo-V2-Flash | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1411 | — |
| LMArena Creative Writing | 1375 | — |
| LMArena Multi-Turn | 1404 | — |
Frequently asked questions
Is MiMo-V2-Flash better than Qwen3.5-9B?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 33.8 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when MiMo-V2-Flash's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Flash or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; MiMo-V2-Flash lists at $0.14 and $0.28.
Is MiMo-V2-Flash or Qwen3.5-9B better for coding?
They score almost the same on coding (36.1 vs 35.9); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do MiMo-V2-Flash and Qwen3.5-9B share?
2 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Qwen3.5-9B has 10.