Model comparison
Llama 3.2 3B vs Mistral Small 3.2
Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 28.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
Meta
Mistral AISummary
- They share 1 benchmark with published results for both. Llama 3.2 3B scores higher in 3 categories and Mistral Small 3.2 in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small 3.2 leads 45.1 to 24.9.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.0938 / $0.25 for Mistral Small 3.2.
- Mistral Small 3.2 accepts more context: 256K tokens versus 131K.
Side by side
| Llama 3.2 3B | Mistral Small 3.2 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.4 | 30.8 |
| Released | 2024-09-24 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 131K | 256K |
| Max output | 118K | 16K |
| Input $ / M tokens | $0.05 | $0.0938 |
| Output $ / M tokens | $0.33 | $0.25 |
| Results tracked | 18 | 6 |
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Category by category
Coding Not comparable
Llama 3.2 3B: 27.1 (#314), Mistral Small 3.2: —
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 3B: 19.9 (#135), Mistral Small 3.2: —
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |
Reasoning Llama 3.2 3B leads
Llama 3.2 3B: 20.1 (#225), Mistral Small 3.2: 17.5 (#282)
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1095 | — |
| Epoch Capabilities Index | — | 131.73 |
Math Llama 3.2 3B leads
Llama 3.2 3B: 29.9 (#213), Mistral Small 3.2: 24.9 (#251)
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1126 | — |
Knowledge Llama 3.2 3B leads
Llama 3.2 3B: 29.1 (#232), Mistral Small 3.2: 26.8 (#249)
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1090 | — |
Multilingual Not comparable
Llama 3.2 3B: 26.4 (#276), Mistral Small 3.2: —
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |
Instruction Following Not comparable
Llama 3.2 3B: 56.3 (#270), Mistral Small 3.2: —
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1089 | — |
Long Context Not comparable
Llama 3.2 3B: 33.4 (#256), Mistral Small 3.2: —
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1101 | — |
Writing & Preference Mistral Small 3.2 leads
Llama 3.2 3B: 24.9 (#302), Mistral Small 3.2: 45.1 (#219)
| Benchmark | Llama 3.2 3B | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 595 | 1255 |
| LMArena Text | 1110 | — |
| LMArena Creative Writing | 1094 | — |
| LMArena Multi-Turn | 1105 | — |
Frequently asked questions
Is Llama 3.2 3B better than Mistral Small 3.2?
Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 28.4 on the Noometry Index.
Which is cheaper, Llama 3.2 3B or Mistral Small 3.2?
Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Mistral Small 3.2 lists at $0.0938 and $0.25.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 131K.
How many benchmarks do Llama 3.2 3B and Mistral Small 3.2 share?
1 benchmark has published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Mistral Small 3.2 has 6.