Model comparison
Llama 2-7B vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
Mistral AISummary
- They share 12 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Mistral Large 4 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 43.1 |
| Released | 2023-07-18 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.68 |
| Output $ / M tokens | — | $2.09 |
| Results tracked | 29 | 15 |
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Category by category
Coding Mistral Large 4 leads
Llama 2-7B: 29.2 (#307), Mistral Large 4: 48.6 (#57)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1002 | 1475 |
| LMArena WebDev | — | 1541 |
Reasoning Mistral Large 4 leads
Llama 2-7B: 15.7 (#312), Mistral Large 4: 22.5 (#192)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| Chess Puzzles | 0% | — |
| 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 4 leads
Llama 2-7B: 30.7 (#233), Mistral Large 4: 40.4 (#91)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1042 | 1488 |
| GSM8K | 16.7% | — |
Knowledge Mistral Large 4 leads
Llama 2-7B: 28.2 (#248), Mistral Large 4: 36.6 (#166)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1036 | 1447 |
| SimpleQA Verified | — | 20% |
| 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 4: —
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Mistral Large 4 leads
Llama 2-7B: 23.8 (#293), Mistral Large 4: 52.6 (#82)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 973 | 1415 |
| LMArena Chinese | 973 | 1491 |
| LMArena Russian | 995 | 1414 |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Mistral Large 4 leads
Llama 2-7B: 50.8 (#298), Mistral Large 4: 75.0 (#76)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1424 |
Long Context Mistral Large 4 leads
Llama 2-7B: 30.4 (#287), Mistral Large 4: 43.6 (#89)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 999 | 1429 |
Writing & Preference Mistral Large 4 leads
Llama 2-7B: 28.0 (#298), Mistral Large 4: 60.4 (#97)
| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1053 | 1427 |
| LMArena Creative Writing | 1033 | 1361 |
| LMArena Multi-Turn | 1029 | 1424 |
Frequently asked questions
Is Llama 2-7B better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.1 on the Noometry Index.
Is Llama 2-7B or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Mistral Large 4 share?
12 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral Large 4 has 15.