Model comparison
MiMo-V2-Omni vs Qwen Turbo
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 27.1 on the Noometry Index. Qwen Turbo costs 2.0× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where MiMo-V2-Omni leads 39.1 to 15.3.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
- Qwen Turbo accepts more context: 1M tokens versus 262K.
Side by side
| MiMo-V2-Omni | Qwen Turbo | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.6 | 27.1 |
| Released | 2026-03-18 | 2024-11-01 |
| Weights | Proprietary | Proprietary |
| Context window | 262K | 1M |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.14 | $0.05 |
| Output $ / M tokens | $0.28 | $0.20 |
| Results tracked | 18 | 3 |
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Category by category
Coding Not comparable
MiMo-V2-Omni: 43.3 (#89), Qwen Turbo: —
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| LMArena Coding | 1466 | — |
Reasoning Not comparable
MiMo-V2-Omni: 29.7 (#88), Qwen Turbo: —
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| LMArena Hard Prompts | 1445 | — |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 39.1 (#115), Qwen Turbo: 15.3 (#297)
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 6.1% |
| LMArena Math | 1430 | — |
| MATH Level 5 | — | 56.2% |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), Qwen Turbo: 22.2 (#272)
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| GPQA Diamond | — | 41.8% |
| LMArena Expert | 1449 | — |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), Qwen Turbo: —
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual Not comparable
MiMo-V2-Omni: 51.8 (#102), Qwen Turbo: —
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1447 | — |
| LMArena German | 1399 | — |
| LMArena Japanese | 1317 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1434 | — |
Instruction Following Not comparable
MiMo-V2-Omni: 75.2 (#66), Qwen Turbo: —
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| LMArena Instruction Following | 1428 | — |
Long Context Not comparable
MiMo-V2-Omni: 44.1 (#76), Qwen Turbo: —
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference Not comparable
MiMo-V2-Omni: 61.4 (#87), Qwen Turbo: —
| Benchmark | MiMo-V2-Omni | Qwen Turbo |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2-Omni better than Qwen Turbo?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 27.1 on the Noometry Index. Qwen Turbo costs 2.0× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Omni or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 262K.
How many benchmarks do MiMo-V2-Omni and Qwen Turbo share?
0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen Turbo has 3.