Model comparison
Llama 4 Scout vs Magistral Small
Magistral Small is the stronger model overall, scoring 30.2 to 27.7 on the Noometry Index. Llama 4 Scout costs 5.0× less per token, which makes it the better buy when Magistral Small's lead doesn't matter for your workload.
Last verified . 9 shared benchmarks.
Meta
Mistral AISummary
- They share 9 benchmarks with published results for both. Llama 4 Scout scores higher in 2 categories and Magistral Small in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Magistral Small leads 38.4 to 20.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 36.9% for Llama 4 Scout and 6.3% for Magistral Small.
- Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
Side by side
| Llama 4 Scout | Magistral Small | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 27.7 | 30.2 |
| Released | 2025-04-05 | 2025-06-10 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 4K | 40K |
| Input $ / M tokens | $0.10 | $0.50 |
| Output $ / M tokens | $0.30 | $1.50 |
| Results tracked | 43 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Magistral Small leads
Llama 4 Scout: 20.2 (#339), Magistral Small: 38.4 (#176)
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| SciCode | 17% | 35.2% |
| SWE-bench Verified (bash only) | 9.1% | — |
| LMArena Coding | 1286 | — |
| BigCodeBench Complete | 43.1% | — |
Agentic & Tool Use Not comparable
Llama 4 Scout: 24.6 (#119), Magistral Small: —
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning Llama 4 Scout leads
Llama 4 Scout: 9.1 (#345), Magistral Small: 6.8 (#350)
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| ARC-AGI-2 | 0% | 0% |
| Kagi LLM Benchmark | 36.9% | 6.3% |
| ARC-AGI-1 | 0.5% | 5% |
| CritPt | 0% | 0.3% |
| DTBench | 57.9% | 61.3% |
| Epoch Capabilities Index | 129.64 | 133.19 |
| Chess Puzzles | — | 3% |
| LMArena Hard Prompts | 1266 | — |
| LMCA | 12% | — |
| ForecastBench | 57.5 | — |
Math Magistral Small leads
Llama 4 Scout: 19.6 (#286), Magistral Small: 26.2 (#261)
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.8% | 30% |
| Omni-MATH | 37.3% | — |
| LMArena Math | 1287 | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Llama 4 Scout leads
Llama 4 Scout: 31.9 (#217), Magistral Small: 30.9 (#223)
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| GPQA Diamond | 51.8% | 56.1% |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1235 | — |
Multimodal Not comparable
Llama 4 Scout: 32.2 (#102), Magistral Small: —
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Not comparable
Llama 4 Scout: 41.0 (#212), Magistral Small: —
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| LMArena Non-English | 1252 | — |
| LMArena Chinese | 1255 | — |
| LMArena French | 1282 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1206 | — |
| LMArena Korean | 1207 | — |
| LMArena Russian | 1263 | — |
| LMArena Spanish | 1278 | — |
Instruction Following Not comparable
Llama 4 Scout: 65.8 (#217), Magistral Small: —
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| IFEval | 81.8% | — |
| LMArena Instruction Following | 1248 | — |
Long Context Not comparable
Llama 4 Scout: 27.5 (#294), Magistral Small: —
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| Fiction.LiveBench | 36% | — |
| LMArena Longer Query | 1265 | — |
Writing & Preference Not comparable
Llama 4 Scout: 37.0 (#261), Magistral Small: —
| Benchmark | Llama 4 Scout | Magistral Small |
|---|---|---|
| LMArena Text | 1279 | — |
| LMArena Creative Writing | 1249 | — |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
| LMArena Multi-Turn | 1280 | — |
Frequently asked questions
Is Llama 4 Scout better than Magistral Small?
Magistral Small is the stronger model overall, scoring 30.2 to 27.7 on the Noometry Index. Llama 4 Scout costs 5.0× less per token, which makes it the better buy when Magistral Small's lead doesn't matter for your workload.
Which is cheaper, Llama 4 Scout or Magistral Small?
Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Magistral Small lists at $0.50 and $1.50.
Is Llama 4 Scout or Magistral Small better for coding?
Magistral Small scores higher on coding benchmarks: 38.4 versus 20.2 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Llama 4 Scout and Magistral Small share?
9 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Magistral Small has 10.