Model comparison
MiMo-V2.6-Pro vs Qwen3 8B
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 33.7 on the Noometry Index. Qwen3 8B costs 1.8× less per token, which makes it the better buy when MiMo-V2.6-Pro'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-V2.6-Pro scores higher in 6 categories and Qwen3 8B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 16.6.
- The biggest single-benchmark swing is SciCode: 60.9% for MiMo-V2.6-Pro and 22.6% for Qwen3 8B.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 131K.
Side by side
| MiMo-V2.6-Pro | Qwen3 8B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 50.3 | 33.7 |
| Released | 2026-09-21 | 2025-04 |
| Weights | Open | 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 | 19 | 11 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 55.5 (#23), Qwen3 8B: 34.0 (#248)
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| SciCode | 60.9% | 22.6% |
| LMArena WebDev | 1629 | — |
| LMArena Coding | 1534 | — |
| ALE-Bench | 1,158 | — |
Agentic & Tool Use MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 37.5 (#35), Qwen3 8B: 30.2 (#78)
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| APEX-Agents | 59.5% | — |
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.1 (#50), Qwen3 8B: 16.6 (#303)
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| CritPt | 26.6% | 0% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | 1512 | — |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 54.5 (#45), Qwen3 8B: 34.9 (#191)
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
| ProofBench | 70% | — |
| LMArena Math | 1494 | — |
Knowledge MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.5 (#92), Qwen3 8B: 36.1 (#173)
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
| LMArena Expert | 1543 | — |
Multimodal Not comparable
MiMo-V2.6-Pro: 40.8 (#43), Qwen3 8B: —
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| LMArena Vision | 1264 | — |
Multilingual Not comparable
MiMo-V2.6-Pro: 56.9 (#14), Qwen3 8B: —
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1474 | — |
| LMArena Chinese | 1529 | — |
| LMArena Russian | 1480 | — |
Instruction Following Not comparable
MiMo-V2.6-Pro: 78.2 (#12), Qwen3 8B: —
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| LMArena Instruction Following | 1493 | — |
Long Context MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 46.0 (#27), Qwen3 8B: 37.9 (#210)
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1501 | — |
Writing & Preference Not comparable
MiMo-V2.6-Pro: 66.8 (#33), Qwen3 8B: —
| Benchmark | MiMo-V2.6-Pro | Qwen3 8B |
|---|---|---|
| LMArena Text | 1492 | — |
| LMArena Creative Writing | 1468 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is MiMo-V2.6-Pro better than Qwen3 8B?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 33.7 on the Noometry Index. Qwen3 8B costs 1.8× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2.6-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-V2.6-Pro lists at $0.43 and $0.87.
Is MiMo-V2.6-Pro or Qwen3 8B better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 34.0 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 131K.
How many benchmarks do MiMo-V2.6-Pro and Qwen3 8B share?
2 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Qwen3 8B has 11.