Model comparison
MiMo-V2-Flash vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 5.9× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. MiMo-V2-Flash scores higher in 2 categories and Mistral Large 4 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 36.1.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Flash | Mistral Large 4 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 41.3 | 43.1 |
| Released | 2025-12-16 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 66K | 262K |
| Input $ / M tokens | $0.14 | $0.68 |
| Output $ / M tokens | $0.28 | $2.09 |
| Results tracked | 21 | 15 |
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Category by category
Coding Mistral Large 4 leads
MiMo-V2-Flash: 36.1 (#211), Mistral Large 4: 48.6 (#57)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1330 | 1541 |
| LMArena Coding | 1443 | 1475 |
| SciCode | 25.9% | — |
| ALE-Bench | 737.95 | — |
Reasoning MiMo-V2-Flash leads
MiMo-V2-Flash: 24.9 (#157), Mistral Large 4: 22.5 (#192)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| CritPt | 0% | — |
Math Mistral Large 4 leads
MiMo-V2-Flash: 38.3 (#139), Mistral Large 4: 40.4 (#91)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1396 | 1488 |
Knowledge MiMo-V2-Flash leads
MiMo-V2-Flash: 39.7 (#131), Mistral Large 4: 36.6 (#166)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1425 | 1447 |
| SimpleQA Verified | — | 20% |
Multilingual Mistral Large 4 leads
MiMo-V2-Flash: 51.0 (#113), Mistral Large 4: 52.6 (#82)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1392 | 1415 |
| LMArena Chinese | 1462 | 1491 |
| LMArena Russian | 1387 | 1414 |
| LMArena French | 1429 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1325 | — |
| LMArena Korean | 1358 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Mistral Large 4 leads
MiMo-V2-Flash: 73.5 (#120), Mistral Large 4: 75.0 (#76)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1392 | 1424 |
Long Context Too close to call
MiMo-V2-Flash: 43.0 (#110), Mistral Large 4: 43.6 (#89)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1409 | 1429 |
Writing & Preference Too close to call
MiMo-V2-Flash: 59.7 (#106), Mistral Large 4: 60.4 (#97)
| Benchmark | MiMo-V2-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1411 | 1427 |
| LMArena Creative Writing | 1375 | 1361 |
| LMArena Multi-Turn | 1404 | 1424 |
Frequently asked questions
Is MiMo-V2-Flash better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 5.9× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Flash or Mistral Large 4?
MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is MiMo-V2-Flash or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 36.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2-Flash and Mistral Large 4 share?
13 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Mistral Large 4 has 15.