Model comparison
Llama 2-13B vs Mistral Nemo
Llama 2-13B is the stronger model overall, scoring 29.6 to 26.4 on the Noometry Index.
Last verified . 5 shared benchmarks.
Meta
Mistral AISummary
- They share 5 benchmarks with published results for both. Llama 2-13B scores higher in 3 categories and Mistral Nemo in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-13B leads 28.1 to 12.3.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 48.6% for Mistral Nemo.
Side by side
| Llama 2-13B | Mistral Nemo | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 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 | 32 | 10 |
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Category by category
Coding Not comparable
Llama 2-13B: 30.9 (#291), Mistral Nemo: —
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1062 | — |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Mistral Nemo: 23.5 (#125)
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Llama 2-13B: 12.8 (#337), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| DTBench | 42.2% | 48.6% |
| Epoch Capabilities Index | 106.17 | 118.68 |
| PIQA | 80.8% | 83.5% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1051 | — |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| GSM8K | 36.9% | 84.2% |
| LMArena Math | 1065 | — |
| MATH Level 5 | — | 10.8% |
Knowledge Llama 2-13B leads
Llama 2-13B: 28.1 (#249), Mistral Nemo: 12.3 (#298)
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| BoolQ | 82.4% | 82.5% |
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral Nemo: —
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Mistral Nemo: —
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1044 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Not comparable
Llama 2-13B: 53.3 (#287), Mistral Nemo: —
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Mistral Nemo: —
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Llama 2-13B leads
Llama 2-13B: 29.8 (#289), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama 2-13B | Mistral Nemo |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Mistral Nemo?
Llama 2-13B is the stronger model overall, scoring 29.6 to 26.4 on the Noometry Index.
How many benchmarks do Llama 2-13B and Mistral Nemo share?
5 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Nemo has 10.