Model comparison
MiMo-V2-Omni vs Mistral Large 3
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 39.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and Mistral Large 3 in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 15.2.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Mistral Large 3 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.6 | 39.1 |
| Released | 2026-03-18 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 262K | 262K |
| Max output | 131K | 8K |
| Input $ / M tokens | $0.14 | $0.25 |
| Output $ / M tokens | $0.28 | $0.75 |
| Results tracked | 18 | 24 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 43.3 (#89), Mistral Large 3: 34.4 (#237)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1466 | 1448 |
| LMArena WebDev | — | 1230 |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), Mistral Large 3: 15.2 (#319)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
Math Too close to call
MiMo-V2-Omni: 39.1 (#115), Mistral Large 3: 38.7 (#129)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1430 | 1414 |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), Mistral Large 3: 36.0 (#177)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1449 | 1421 |
| Vectara Hallucination Rate | — | 14.5% |
Multimodal Too close to call
MiMo-V2-Omni: 38.6 (#63), Mistral Large 3: 38.2 (#66)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1228 | 1221 |
Multilingual Too close to call
MiMo-V2-Omni: 51.8 (#102), Mistral Large 3: 52.5 (#84)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1404 | 1413 |
| LMArena Chinese | 1465 | 1447 |
| LMArena French | 1447 | 1455 |
| LMArena German | 1399 | 1437 |
| LMArena Japanese | 1317 | 1394 |
| LMArena Korean | 1355 | 1384 |
| LMArena Russian | 1412 | 1411 |
| LMArena Spanish | 1434 | 1440 |
Instruction Following MiMo-V2-Omni leads
MiMo-V2-Omni: 75.2 (#66), Mistral Large 3: 74.0 (#108)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1428 | 1403 |
Long Context Too close to call
MiMo-V2-Omni: 44.1 (#76), Mistral Large 3: 43.1 (#105)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1442 | 1413 |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.4 (#87), Mistral Large 3: 60.0 (#101)
| Benchmark | MiMo-V2-Omni | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1423 | 1428 |
| LMArena Creative Writing | 1392 | 1386 |
| LMArena Multi-Turn | 1445 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |
Frequently asked questions
Is MiMo-V2-Omni better than Mistral Large 3?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 39.1 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or Mistral Large 3?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.
Is MiMo-V2-Omni or Mistral Large 3 better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do MiMo-V2-Omni and Mistral Large 3 share?
18 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mistral Large 3 has 24.