Model comparison
Llama 2-13B vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
Mistral AISummary
- They share 12 benchmarks with published results for both. Llama 2-13B 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 29.8.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Mistral Large 4 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 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 | 32 | 15 |
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Category by category
Coding Mistral Large 4 leads
Llama 2-13B: 30.9 (#291), Mistral Large 4: 48.6 (#57)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1062 | 1475 |
| LMArena WebDev | — | 1541 |
Reasoning Mistral Large 4 leads
Llama 2-13B: 12.8 (#337), Mistral Large 4: 22.5 (#192)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Mistral Large 4 leads
Llama 2-13B: 31.1 (#229), Mistral Large 4: 40.4 (#91)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1065 | 1488 |
| GSM8K | 36.9% | — |
Knowledge Mistral Large 4 leads
Llama 2-13B: 28.1 (#249), Mistral Large 4: 36.6 (#166)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1030 | 1447 |
| SimpleQA Verified | — | 20% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral Large 4: —
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Mistral Large 4 leads
Llama 2-13B: 26.5 (#279), Mistral Large 4: 52.6 (#82)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1024 | 1415 |
| LMArena Chinese | 1001 | 1491 |
| LMArena Russian | 1055 | 1414 |
| LMArena French | 1044 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Mistral Large 4 leads
Llama 2-13B: 53.3 (#287), Mistral Large 4: 75.0 (#76)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1045 | 1424 |
Long Context Mistral Large 4 leads
Llama 2-13B: 32.3 (#269), Mistral Large 4: 43.6 (#89)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1064 | 1429 |
Writing & Preference Mistral Large 4 leads
Llama 2-13B: 29.8 (#289), Mistral Large 4: 60.4 (#97)
| Benchmark | Llama 2-13B | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1084 | 1427 |
| LMArena Creative Writing | 1047 | 1361 |
| LMArena Multi-Turn | 1050 | 1424 |
Frequently asked questions
Is Llama 2-13B better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.6 on the Noometry Index.
Is Llama 2-13B or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Mistral Large 4 share?
12 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Large 4 has 15.