Model comparison
MiMo-V2-Pro vs Qwen3 8B
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 33.3 on the Noometry Index. Qwen3 8B costs 1.8× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where MiMo-V2-Pro leads 43.4 to 33.4.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 131K.
- Qwen3 8B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Qwen3 8B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 42.4 | 33.3 |
| Released | 2026-03-18 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 131K | 8K |
| Input $ / M tokens | $0.43 | $0.18 |
| Output $ / M tokens | $0.87 | $0.70 |
| Results tracked | 23 | 11 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.4 (#76), Qwen3 8B: 33.4 (#245)
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| LMArena WebDev | 1433 | — |
| SciCode | — | 22.6% |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Pro: —, Qwen3 8B: 29.9 (#71)
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning MiMo-V2-Pro leads
MiMo-V2-Pro: 21.3 (#200), Qwen3 8B: 16.1 (#299)
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| NYT Connections (extended) | 25.8% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 36.7 (#104), Qwen3 8B: 33.3 (#176)
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
| LMArena Math | 1447 | — |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 40.8 (#106), Qwen3 8B: 36.1 (#164)
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
| LMArena Expert | 1479 | — |
Multilingual Not comparable
MiMo-V2-Pro: 52.9 (#77), Qwen3 8B: —
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1416 | — |
| LMArena Chinese | 1455 | — |
| LMArena French | 1470 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1427 | — |
| LMArena Spanish | 1458 | — |
Instruction Following Not comparable
MiMo-V2-Pro: 76.2 (#46), Qwen3 8B: —
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| LMArena Instruction Following | 1444 | — |
Long Context MiMo-V2-Pro leads
MiMo-V2-Pro: 41.5 (#133), Qwen3 8B: 37.8 (#205)
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference Not comparable
MiMo-V2-Pro: 62.9 (#67), Qwen3 8B: —
| Benchmark | MiMo-V2-Pro | Qwen3 8B |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than Qwen3 8B?
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 33.3 on the Noometry Index. Qwen3 8B costs 1.8× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Pro or Qwen3 8B?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is MiMo-V2-Pro or Qwen3 8B better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 33.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 131K.
How many benchmarks do MiMo-V2-Pro and Qwen3 8B share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Qwen3 8B has 11.