Model comparison
Llama-3.3-70B-Instruct vs Magistral Small
Llama-3.3-70B-Instruct and Magistral Small score almost the same on the Noometry Index (30.3 vs 29.9), so choose on price, context window or the category you care about most.
Last verified . 6 shared benchmarks.
Meta
Mistral AISummary
- They share 6 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 1 category and Magistral Small in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Magistral Small leads 24.9 to 14.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 5.1% for Llama-3.3-70B-Instruct and 30% for Magistral Small.
- Llama-3.3-70B-Instruct is cheaper at $0.10 / $0.32 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
Side by side
| Llama-3.3-70B-Instruct | Magistral Small | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.3 | 29.9 |
| Released | 2024-12-06 | 2025-06-10 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 4K | 40K |
| Input $ / M tokens | $0.10 | $0.50 |
| Output $ / M tokens | $0.32 | $1.50 |
| Results tracked | 43 | 10 |
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Category by category
Coding Magistral Small leads
Llama-3.3-70B-Instruct: 30.6 (#284), Magistral Small: 37.8 (#172)
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| SciCode | 26% | 35.2% |
| WeirdML | 14.4% | — |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| LMArena Coding | 1268 | — |
| BigCodeBench Complete | 57.5% | — |
Agentic & Tool Use Not comparable
Llama-3.3-70B-Instruct: 25.6 (#100), Magistral Small: —
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 13.7 (#325), Magistral Small: 6.9 (#345)
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| CritPt | 0% | 0.3% |
| DTBench | 59.5% | 61.3% |
| Epoch Capabilities Index | 127.32 | 133.19 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | 19.9% | — |
| Kagi LLM Benchmark | — | 6.3% |
| ARC-AGI-1 | — | 5% |
| Chess Puzzles | — | 3% |
| LiveBench Reasoning | 50.8% | — |
| LMArena Hard Prompts | 1257 | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
Math Magistral Small leads
Llama-3.3-70B-Instruct: 14.3 (#292), Magistral Small: 24.9 (#253)
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.1% | 30% |
| LiveBench Math | 42.2% | — |
| LMArena Math | 1268 | — |
| MATH Level 5 | 41.6% | — |
Knowledge Too close to call
Llama-3.3-70B-Instruct: 30.5 (#220), Magistral Small: 30.9 (#215)
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| GPQA Diamond | 47.4% | 56.1% |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |
| MMLU | 86.3% | — |
Multilingual Not comparable
Llama-3.3-70B-Instruct: 40.1 (#215), Magistral Small: —
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| LMArena Non-English | 1236 | — |
| LMArena Chinese | 1217 | — |
| LMArena French | 1280 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1149 | — |
| LMArena Korean | 1142 | — |
| LMArena Russian | 1252 | — |
| LMArena Spanish | 1269 | — |
Instruction Following Not comparable
Llama-3.3-70B-Instruct: 71.3 (#152), Magistral Small: —
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| LiveBench Instruction Following | 82.7% | — |
| LMArena Instruction Following | 1242 | — |
Long Context Not comparable
Llama-3.3-70B-Instruct: 26.4 (#290), Magistral Small: —
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1256 | — |
Writing & Preference Not comparable
Llama-3.3-70B-Instruct: 47.8 (#203), Magistral Small: —
| Benchmark | Llama-3.3-70B-Instruct | Magistral Small |
|---|---|---|
| LMArena Text | 1274 | — |
| LMArena Creative Writing | 1250 | — |
| LMArena Multi-Turn | 1279 | — |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Magistral Small?
Llama-3.3-70B-Instruct and Magistral Small score almost the same on the Noometry Index (30.3 vs 29.9), so choose on price, context window or the category you care about most.
Which is cheaper, Llama-3.3-70B-Instruct or Magistral Small?
Llama-3.3-70B-Instruct is cheaper. It lists at $0.10 per million input tokens and $0.32 per million output tokens; Magistral Small lists at $0.50 and $1.50.
Is Llama-3.3-70B-Instruct or Magistral Small better for coding?
Magistral Small scores higher on coding benchmarks: 37.8 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Llama-3.3-70B-Instruct and Magistral Small share?
6 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Magistral Small has 10.