Model comparison
Llama 2-7B vs Mistral Nemo
Llama 2-7B is the stronger model overall, scoring 29.1 to 26.4 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Mistral AISummary
- They share 4 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Mistral Nemo in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-7B leads 28.2 to 12.3.
Side by side
| Llama 2-7B | Mistral Nemo | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 26.4 |
| Released | 2023-07-18 | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 29 | 10 |
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Category by category
Coding Not comparable
Llama 2-7B: 29.2 (#307), Mistral Nemo: —
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1002 | — |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Mistral Nemo: 23.5 (#125)
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Llama 2-7B: 15.7 (#312), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| Epoch Capabilities Index | 99.06 | 118.68 |
| PIQA | 78.8% | 83.5% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1009 | — |
| DTBench | — | 48.6% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| GSM8K | 16.7% | 84.2% |
| LMArena Math | 1042 | — |
| MATH Level 5 | — | 10.8% |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Mistral Nemo: 12.3 (#298)
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| BoolQ | 77.9% | 82.5% |
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Mistral Nemo: —
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.8 (#293), Mistral Nemo: —
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Not comparable
Llama 2-7B: 50.8 (#298), Mistral Nemo: —
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#287), Mistral Nemo: —
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Too close to call
Llama 2-7B: 28.0 (#298), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama 2-7B | Mistral Nemo |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Mistral Nemo?
Llama 2-7B is the stronger model overall, scoring 29.1 to 26.4 on the Noometry Index.
How many benchmarks do Llama 2-7B and Mistral Nemo share?
4 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral Nemo has 10.