Model comparison
Llama 3-8B vs Mistral Nemo
Llama 3-8B and Mistral Nemo score almost the same on the Noometry Index (25.5 vs 26.4), so choose on price, context window or the category you care about most.
Last verified . 4 shared benchmarks.
Meta
Mistral AISummary
- They share 4 benchmarks with published results for both. Llama 3-8B scores higher in 1 category and Mistral Nemo in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Nemo leads 25.5 to 8.8.
Side by side
| Llama 3-8B | Mistral Nemo | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 25.5 | 26.4 |
| Released | 2024-04-18 | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 34 | 10 |
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Category by category
Coding Not comparable
Llama 3-8B: 31.0 (#289), Mistral Nemo: —
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| BigCodeBench Instruct | 31.9% | — |
| LMArena Coding | 1152 | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3-8B: —, Mistral Nemo: 23.5 (#125)
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Llama 3-8B: 14.3 (#326), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| DTBench | 43.9% | 48.6% |
| Epoch Capabilities Index | 116.45 | 118.68 |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1133 | — |
| Adversarial NLI | 57.3% | — |
| ForecastBench | 58.6 | — |
| PIQA | — | 83.5% |
| WinoGrande | 75.7% | — |
Math Mistral Nemo leads
Llama 3-8B: 8.8 (#323), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 6.1% | 10.8% |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | 1151 | — |
| GSM8K | — | 84.2% |
Knowledge Mistral Nemo leads
Llama 3-8B: 7.8 (#308), Mistral Nemo: 12.3 (#298)
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 26.1% | 29.9% |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| BoolQ | — | 82.5% |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Not comparable
Llama 3-8B: 30.8 (#261), Mistral Nemo: —
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1173 | — |
Instruction Following Not comparable
Llama 3-8B: 58.4 (#260), Mistral Nemo: —
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1127 | — |
Long Context Not comparable
Llama 3-8B: 34.2 (#251), Mistral Nemo: —
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1128 | — |
Writing & Preference Llama 3-8B leads
Llama 3-8B: 37.5 (#256), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama 3-8B | Mistral Nemo |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1152 | — |
Frequently asked questions
Is Llama 3-8B better than Mistral Nemo?
Llama 3-8B and Mistral Nemo score almost the same on the Noometry Index (25.5 vs 26.4), so choose on price, context window or the category you care about most.
How many benchmarks do Llama 3-8B and Mistral Nemo share?
4 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Mistral Nemo has 10.