Model comparison
MiMo-V2-Omni vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.0 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 17× less per token, which makes it the better buy when Qwen3.8 Max'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-Omni scores higher in 1 category and Qwen3.8 Max in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.1 to 36.4.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
- Qwen3.8 Max accepts more context: 1M tokens versus 262K.
Side by side
| MiMo-V2-Omni | Qwen3.8 Max | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 42.9 | 56.0 |
| Released | 2026-03-18 | 2026-08-02 |
| Weights | Proprietary | Proprietary |
| Context window | 262K | 1M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.14 | $2 |
| Output $ / M tokens | $0.28 | $6 |
| Results tracked | 18 | 38 |
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Category by category
Coding Qwen3.8 Max leads
MiMo-V2-Omni: 42.7 (#87), Qwen3.8 Max: 52.3 (#30)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1467 | 1499 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1671 |
| FrontierSWE | — | 15.8% |
| SciCode | — | 52.9% |
Agentic & Tool Use Not comparable
MiMo-V2-Omni: —, Qwen3.8 Max: 42.6 (#17)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
MiMo-V2-Omni: 28.6 (#86), Qwen3.8 Max: 53.4 (#26)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1493 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.69 |
Math Qwen3.8 Max leads
MiMo-V2-Omni: 36.4 (#112), Qwen3.8 Max: 73.1 (#15)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1432 | 1498 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
Knowledge Qwen3.8 Max leads
MiMo-V2-Omni: 39.9 (#114), Qwen3.8 Max: 61.7 (#25)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Expert | 1449 | 1504 |
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
Multimodal MiMo-V2-Omni leads
MiMo-V2-Omni: 37.9 (#62), Qwen3.8 Max: 36.9 (#70)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | 1228 | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
MiMo-V2-Omni: 52.0 (#97), Qwen3.8 Max: 56.6 (#18)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1404 | 1468 |
| LMArena Chinese | 1469 | 1537 |
| LMArena French | 1448 | 1502 |
| LMArena German | 1398 | 1489 |
| LMArena Japanese | 1318 | 1466 |
| LMArena Korean | 1355 | 1467 |
| LMArena Russian | 1412 | 1478 |
| LMArena Spanish | 1432 | 1495 |
Instruction Following Qwen3.8 Max leads
MiMo-V2-Omni: 75.4 (#62), Qwen3.8 Max: 77.7 (#19)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1428 | 1478 |
Long Context Qwen3.8 Max leads
MiMo-V2-Omni: 44.1 (#72), Qwen3.8 Max: 45.5 (#30)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1442 | 1486 |
Writing & Preference Qwen3.8 Max leads
MiMo-V2-Omni: 61.6 (#83), Qwen3.8 Max: 67.0 (#31)
| Benchmark | MiMo-V2-Omni | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1424 | 1480 |
| LMArena Creative Writing | 1393 | 1478 |
| LMArena Multi-Turn | 1446 | 1487 |
Frequently asked questions
Is MiMo-V2-Omni better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.0 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 17× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Omni or Qwen3.8 Max?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Qwen3.8 Max lists at $2 and $6.
Is MiMo-V2-Omni or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 52.3 versus 42.7 in the Noometry coding category.
Which has the bigger context window?
Qwen3.8 Max does, with 1M tokens against 262K.
How many benchmarks do MiMo-V2-Omni and Qwen3.8 Max share?
18 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen3.8 Max has 38.