Model comparison
Llama 4 Scout vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 27.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
MetaSummary
- They share 18 benchmarks with published results for both. Llama 4 Scout scores higher in 0 categories and MiMo-V2-Omni in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 37.1.
- Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
- MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| Llama 4 Scout | MiMo-V2-Omni | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 27.4 | 42.9 |
| Released | 2025-04-05 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 128K | 262K |
| Max output | 4K | 131K |
| Input $ / M tokens | $0.10 | $0.14 |
| Output $ / M tokens | $0.30 | $0.28 |
| Results tracked | 43 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Llama 4 Scout: 19.9 (#334), MiMo-V2-Omni: 42.7 (#87)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1286 | 1467 |
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| BigCodeBench Complete | 43.1% | — |
Agentic & Tool Use Not comparable
Llama 4 Scout: 24.4 (#109), MiMo-V2-Omni: —
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning MiMo-V2-Omni leads
Llama 4 Scout: 9.2 (#339), MiMo-V2-Omni: 28.6 (#86)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1445 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 36.9% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |
Math MiMo-V2-Omni leads
Llama 4 Scout: 18.4 (#280), MiMo-V2-Omni: 36.4 (#112)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1286 | 1432 |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge MiMo-V2-Omni leads
Llama 4 Scout: 31.8 (#208), MiMo-V2-Omni: 39.9 (#114)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1236 | 1449 |
| GPQA Diamond | 51.8% | — |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
Multimodal MiMo-V2-Omni leads
Llama 4 Scout: 31.6 (#98), MiMo-V2-Omni: 37.9 (#62)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1118 | 1228 |
| SpatialViz-Bench | 34.2% | — |
Multilingual MiMo-V2-Omni leads
Llama 4 Scout: 41.3 (#207), MiMo-V2-Omni: 52.0 (#97)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1253 | 1404 |
| LMArena Chinese | 1256 | 1469 |
| LMArena French | 1283 | 1448 |
| LMArena German | 1274 | 1398 |
| LMArena Japanese | 1209 | 1318 |
| LMArena Korean | 1207 | 1355 |
| LMArena Russian | 1263 | 1412 |
| LMArena Spanish | 1277 | 1432 |
Instruction Following MiMo-V2-Omni leads
Llama 4 Scout: 66.0 (#212), MiMo-V2-Omni: 75.4 (#62)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1248 | 1428 |
| IFEval | 81.8% | — |
Long Context MiMo-V2-Omni leads
Llama 4 Scout: 27.5 (#289), MiMo-V2-Omni: 44.1 (#72)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1265 | 1442 |
| Fiction.LiveBench | 36% | — |
Writing & Preference MiMo-V2-Omni leads
Llama 4 Scout: 37.1 (#256), MiMo-V2-Omni: 61.6 (#83)
| Benchmark | Llama 4 Scout | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1279 | 1424 |
| LMArena Creative Writing | 1249 | 1393 |
| LMArena Multi-Turn | 1281 | 1446 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 27.4 on the Noometry Index.
Which is cheaper, Llama 4 Scout or MiMo-V2-Omni?
Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.
Is Llama 4 Scout or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 19.9 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 128K.
How many benchmarks do Llama 4 Scout and MiMo-V2-Omni share?
18 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and MiMo-V2-Omni has 18.