Model comparison
Llama 2-7B vs Mistral Large 3
Mistral Large 3 is the stronger model overall, scoring 39.1 to 29.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
Meta
Mistral AISummary
- They share 15 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and Mistral Large 3 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 3 leads 60.0 to 28.0.
Side by side
| Llama 2-7B | Mistral Large 3 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 39.1 |
| Released | 2023-07-18 | 2025-12-02 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.75 |
| Results tracked | 29 | 24 |
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Category by category
Coding Mistral Large 3 leads
Llama 2-7B: 29.2 (#307), Mistral Large 3: 34.4 (#237)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1002 | 1448 |
| LMArena WebDev | — | 1230 |
Reasoning Too close to call
Llama 2-7B: 15.7 (#312), Mistral Large 3: 15.2 (#319)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 23% |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 99.06 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Mistral Large 3 leads
Llama 2-7B: 30.7 (#233), Mistral Large 3: 38.7 (#129)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1042 | 1414 |
| GSM8K | 16.7% | — |
Knowledge Mistral Large 3 leads
Llama 2-7B: 28.2 (#248), Mistral Large 3: 36.0 (#177)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1036 | 1421 |
| Vectara Hallucination Rate | — | 14.5% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Mistral Large 3: 38.2 (#66)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
| ScienceQA | 43.1% | — |
Multilingual Mistral Large 3 leads
Llama 2-7B: 23.8 (#293), Mistral Large 3: 52.5 (#84)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 973 | 1413 |
| LMArena Chinese | 973 | 1447 |
| LMArena French | 970 | 1455 |
| LMArena German | 978 | 1437 |
| LMArena Russian | 995 | 1411 |
| LMArena Spanish | 1007 | 1440 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1384 |
Instruction Following Mistral Large 3 leads
Llama 2-7B: 50.8 (#298), Mistral Large 3: 74.0 (#108)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1403 |
Long Context Mistral Large 3 leads
Llama 2-7B: 30.4 (#287), Mistral Large 3: 43.1 (#105)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 999 | 1413 |
Writing & Preference Mistral Large 3 leads
Llama 2-7B: 28.0 (#298), Mistral Large 3: 60.0 (#101)
| Benchmark | Llama 2-7B | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1053 | 1428 |
| LMArena Creative Writing | 1033 | 1386 |
| LMArena Multi-Turn | 1029 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |
Frequently asked questions
Is Llama 2-7B better than Mistral Large 3?
Mistral Large 3 is the stronger model overall, scoring 39.1 to 29.1 on the Noometry Index.
Is Llama 2-7B or Mistral Large 3 better for coding?
Mistral Large 3 scores higher on coding benchmarks: 34.4 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Mistral Large 3 share?
15 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral Large 3 has 24.