Model comparison
Llama 4 Scout vs Ministral 8B
Llama 4 Scout and Ministral 8B score almost the same on the Noometry Index (27.4 vs 27.8), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Meta
Mistral AISummary
- They share 17 benchmarks with published results for both. Llama 4 Scout scores higher in 4 categories and Ministral 8B in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 4 Scout leads 31.8 to 12.5.
- The biggest single-benchmark swing is MATH Level 5: 62.3% for Llama 4 Scout and 14.9% for Ministral 8B.
- Ministral 8B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.10 / $0.30 for Llama 4 Scout.
Side by side
| Llama 4 Scout | Ministral 8B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 27.4 | 27.8 |
| Released | 2025-04-05 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 4K | 128K |
| Input $ / M tokens | $0.10 | $0.10 |
| Output $ / M tokens | $0.30 | $0.10 |
| Results tracked | 43 | 17 |
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Category by category
Coding Ministral 8B leads
Llama 4 Scout: 19.9 (#334), Ministral 8B: 34.4 (#226)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Coding | 1286 | 1202 |
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| BigCodeBench Complete | 43.1% | — |
Agentic & Tool Use Llama 4 Scout leads
Llama 4 Scout: 24.4 (#109), Ministral 8B: 16.2 (#140)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | 11.1% |
Reasoning Ministral 8B leads
Llama 4 Scout: 9.2 (#339), Ministral 8B: 17.7 (#279)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1191 |
| DTBench | 57.9% | 45.7% |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 36.9% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |
Math Ministral 8B leads
Llama 4 Scout: 18.4 (#280), Ministral 8B: 23.7 (#262)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Math | 1286 | 1188 |
| MATH Level 5 | 62.3% | 14.9% |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Llama 4 Scout leads
Llama 4 Scout: 31.8 (#208), Ministral 8B: 12.5 (#292)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| GPQA Diamond | 51.8% | 27.1% |
| Vectara Hallucination Rate | 7.7% | 7.4% |
| LMArena Expert | 1236 | 1170 |
| MMLU-Pro | 74.2% | — |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
Llama 4 Scout: 31.6 (#98), Ministral 8B: —
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Llama 4 Scout leads
Llama 4 Scout: 41.3 (#207), Ministral 8B: 35.3 (#242)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1253 | 1165 |
| LMArena Chinese | 1256 | 1193 |
| LMArena Russian | 1263 | 1195 |
| LMArena French | 1283 | — |
| LMArena German | 1274 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1207 | — |
| LMArena Spanish | 1277 | — |
Instruction Following Llama 4 Scout leads
Llama 4 Scout: 66.0 (#212), Ministral 8B: 60.7 (#245)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1248 | 1161 |
| IFEval | 81.8% | — |
Long Context Ministral 8B leads
Llama 4 Scout: 27.5 (#289), Ministral 8B: 36.7 (#222)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1265 | 1212 |
| Fiction.LiveBench | 36% | — |
Writing & Preference Ministral 8B leads
Llama 4 Scout: 37.1 (#256), Ministral 8B: 39.8 (#241)
| Benchmark | Llama 4 Scout | Ministral 8B |
|---|---|---|
| LMArena Text | 1279 | 1191 |
| LMArena Creative Writing | 1249 | 1175 |
| LMArena Multi-Turn | 1281 | 1166 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than Ministral 8B?
Llama 4 Scout and Ministral 8B score almost the same on the Noometry Index (27.4 vs 27.8), so choose on price, context window or the category you care about most.
Which is cheaper, Llama 4 Scout or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; Llama 4 Scout lists at $0.10 and $0.30.
Is Llama 4 Scout or Ministral 8B better for coding?
Ministral 8B scores higher on coding benchmarks: 34.4 versus 19.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Llama 4 Scout and Ministral 8B share?
17 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Ministral 8B has 17.