Model comparison
MiMo-V2-Flash vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 7.7× less per token, which makes it the better buy when Qwen3.5 397B-A17B's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. MiMo-V2-Flash scores higher in 0 categories and Qwen3.5 397B-A17B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 39.7.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $3.60 for Qwen3.5 397B-A17B.
Side by side
| MiMo-V2-Flash | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 41.3 | 46.0 |
| Released | 2025-12-16 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.14 | $0.60 |
| Output $ / M tokens | $0.28 | $3.60 |
| Results tracked | 21 | 36 |
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Category by category
Coding Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 36.1 (#211), Qwen3.5 397B-A17B: 42.0 (#114)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena WebDev | 1330 | 1400 |
| LMArena Coding | 1443 | 1465 |
| SciCode | 25.9% | — |
| ALE-Bench | 737.95 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Flash: —, Qwen3.5 397B-A17B: 33.3 (#53)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
Reasoning Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 24.9 (#157), Qwen3.5 397B-A17B: 34.5 (#70)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1448 |
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| CritPt | 0% | — |
| Chess Puzzles | — | 13% |
| Thematic Generalization | — | 65.1% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LMCA | — | 37.9% |
| Epoch Capabilities Index | — | 146.65 |
Math Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 38.3 (#139), Qwen3.5 397B-A17B: 46.1 (#73)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Math | 1396 | 1454 |
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
Knowledge Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 39.7 (#131), Qwen3.5 397B-A17B: 53.3 (#58)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Expert | 1425 | 1462 |
| GPQA Diamond | — | 86.4% |
Multimodal Not comparable
MiMo-V2-Flash: —, Qwen3.5 397B-A17B: 40.7 (#44)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1263 |
Multilingual Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 51.0 (#113), Qwen3.5 397B-A17B: 53.7 (#59)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | 1392 | 1430 |
| LMArena Chinese | 1462 | 1500 |
| LMArena French | 1429 | 1461 |
| LMArena German | 1395 | 1447 |
| LMArena Japanese | 1325 | 1426 |
| LMArena Korean | 1358 | 1384 |
| LMArena Russian | 1387 | 1429 |
| LMArena Spanish | 1420 | 1441 |
Instruction Following Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 73.5 (#120), Qwen3.5 397B-A17B: 75.0 (#77)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | 1392 | 1424 |
Long Context Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 43.0 (#110), Qwen3.5 397B-A17B: 44.1 (#74)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | 1409 | 1442 |
Writing & Preference Qwen3.5 397B-A17B leads
MiMo-V2-Flash: 59.7 (#106), Qwen3.5 397B-A17B: 62.3 (#79)
| Benchmark | MiMo-V2-Flash | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | 1411 | 1438 |
| LMArena Creative Writing | 1375 | 1401 |
| LMArena Multi-Turn | 1404 | 1446 |
| EQ-Bench Creative Writing | — | 1478 |
Frequently asked questions
Is MiMo-V2-Flash better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 7.7× less per token, which makes it the better buy when Qwen3.5 397B-A17B's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Flash or Qwen3.5 397B-A17B?
MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Qwen3.5 397B-A17B lists at $0.60 and $3.60.
Is MiMo-V2-Flash or Qwen3.5 397B-A17B better for coding?
Qwen3.5 397B-A17B scores higher on coding benchmarks: 42.0 versus 36.1 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do MiMo-V2-Flash and Qwen3.5 397B-A17B share?
18 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Qwen3.5 397B-A17B has 36.