Model comparison
Llama-3.3-70B-Instruct vs Mistral Small 3.2
Llama-3.3-70B-Instruct and Mistral Small 3.2 score almost the same on the Noometry Index (30.6 vs 31.2), so choose on price, context window or the category you care about most.
Last verified . 3 shared benchmarks.
Meta
Mistral AISummary
- They share 3 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 2 categories and Mistral Small 3.2 in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Small 3.2 leads 26.3 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 5.1% for Llama-3.3-70B-Instruct and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.10 / $0.32 for Llama-3.3-70B-Instruct.
- Mistral Small 3.2 accepts more context: 256K tokens versus 128K.
Side by side
| Llama-3.3-70B-Instruct | Mistral Small 3.2 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.6 | 31.2 |
| Released | 2024-12-06 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 128K | 256K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.10 | $0.0938 |
| Output $ / M tokens | $0.32 | $0.25 |
| Results tracked | 43 | 6 |
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Category by category
Coding Not comparable
Llama-3.3-70B-Instruct: 31.0 (#290), Mistral Small 3.2: —
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| SciCode | 26% | — |
| 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: 25.8 (#105), Mistral Small 3.2: —
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Mistral Small 3.2 leads
Llama-3.3-70B-Instruct: 14.1 (#327), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 127.33 | 131.74 |
| SimpleBench | 19.9% | — |
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | 50.8% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
Math Mistral Small 3.2 leads
Llama-3.3-70B-Instruct: 15.3 (#298), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.1% | 30.3% |
| LiveBench Math | 42.2% | — |
| LMArena Math | 1267 | — |
| MATH Level 5 | 41.6% | — |
Knowledge Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 30.6 (#226), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 47.4% | 49.1% |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |
| MMLU | 86.3% | — |
Multilingual Not comparable
Llama-3.3-70B-Instruct: 39.9 (#220), Mistral Small 3.2: —
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1236 | — |
| LMArena Chinese | 1217 | — |
| LMArena French | 1281 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1150 | — |
| LMArena Korean | 1143 | — |
| LMArena Russian | 1252 | — |
| LMArena Spanish | 1270 | — |
Instruction Following Not comparable
Llama-3.3-70B-Instruct: 71.1 (#157), Mistral Small 3.2: —
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| LiveBench Instruction Following | 82.7% | — |
| LMArena Instruction Following | 1242 | — |
Long Context Not comparable
Llama-3.3-70B-Instruct: 26.4 (#295), Mistral Small 3.2: —
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1256 | — |
Writing & Preference Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 47.6 (#207), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1274 | — |
| LMArena Creative Writing | 1250 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1280 | — |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Mistral Small 3.2?
Llama-3.3-70B-Instruct and Mistral Small 3.2 score almost the same on the Noometry Index (30.6 vs 31.2), so choose on price, context window or the category you care about most.
Which is cheaper, Llama-3.3-70B-Instruct or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Llama-3.3-70B-Instruct lists at $0.10 and $0.32.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 128K.
How many benchmarks do Llama-3.3-70B-Instruct and Mistral Small 3.2 share?
3 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Mistral Small 3.2 has 6.