Model comparison
Llama 3.2 3B vs Mistral Nemo
Llama 3.2 3B is the stronger model overall, scoring 28.9 to 26.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
Meta
Mistral AISummary
- They share 3 benchmarks with published results for both. Llama 3.2 3B scores higher in 3 categories and Mistral Nemo in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.2 3B leads 29.7 to 12.3.
- The biggest single-benchmark swing is BALROG: 10.1% for Llama 3.2 3B and 17.6% for Mistral Nemo.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.15 / $0.15 for Mistral Nemo.
- Llama 3.2 3B accepts more context: 131K tokens versus 128K.
Side by side
| Llama 3.2 3B | Mistral Nemo | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.9 | 26.4 |
| Released | 2024-09-24 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 118K | 128K |
| Input $ / M tokens | $0.05 | $0.15 |
| Output $ / M tokens | $0.33 | $0.15 |
| Results tracked | 18 | 10 |
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Category by category
Coding Not comparable
Llama 3.2 3B: 27.6 (#319), Mistral Nemo: —
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |
Agentic & Tool Use Mistral Nemo leads
Llama 3.2 3B: 20.1 (#143), Mistral Nemo: 23.5 (#125)
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | 27.6% |
| BALROG | 10.1% | 17.6% |
Reasoning Too close to call
Llama 3.2 3B: 21.0 (#228), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| LMArena Hard Prompts | 1095 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Llama 3.2 3B leads
Llama 3.2 3B: 32.4 (#214), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| LMArena Math | 1126 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Llama 3.2 3B leads
Llama 3.2 3B: 29.7 (#235), Mistral Nemo: 12.3 (#298)
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1090 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
Llama 3.2 3B: 26.2 (#281), Mistral Nemo: —
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |
Instruction Following Not comparable
Llama 3.2 3B: 56.0 (#275), Mistral Nemo: —
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1089 | — |
Long Context Not comparable
Llama 3.2 3B: 33.4 (#261), Mistral Nemo: —
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1100 | — |
Writing & Preference Mistral Nemo leads
Llama 3.2 3B: 24.7 (#307), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama 3.2 3B | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 595 | 881 |
| LMArena Text | 1110 | — |
| LMArena Creative Writing | 1094 | — |
| LMArena Multi-Turn | 1105 | — |
Frequently asked questions
Is Llama 3.2 3B better than Mistral Nemo?
Llama 3.2 3B is the stronger model overall, scoring 28.9 to 26.4 on the Noometry Index.
Which is cheaper, Llama 3.2 3B or Mistral Nemo?
Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Mistral Nemo lists at $0.15 and $0.15.
Which has the bigger context window?
Llama 3.2 3B does, with 131K tokens against 128K.
How many benchmarks do Llama 3.2 3B and Mistral Nemo share?
3 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Mistral Nemo has 10.