Model comparison
Llama 2-13B vs Mistral Medium
Mistral Medium is the stronger model overall, scoring 36.0 to 29.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Meta
Mistral AISummary
- They share 18 benchmarks with published results for both. Llama 2-13B scores higher in 2 categories and Mistral Medium in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.2 to 30.0.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 75.5% for Mistral Medium.
Side by side
| Llama 2-13B | Mistral Medium | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 36.0 |
| Released | 2023-07-18 | 2023-12-11 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 32 | 36 |
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Category by category
Coding Mistral Medium leads
Llama 2-13B: 30.4 (#287), Mistral Medium: 33.8 (#241)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Coding | 1062 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Mistral Medium: 28.1 (#84)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Mistral Medium leads
Llama 2-13B: 12.3 (#333), Mistral Medium: 23.3 (#165)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1426 |
| DTBench | 42.2% | 75.5% |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 28.7 (#226), Mistral Medium: 27.2 (#238)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Math | 1065 | 1409 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 27.5 (#244), Mistral Medium: 24.9 (#260)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Expert | 1030 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral Medium: 34.6 (#82)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
| ScienceQA | 55.8% | — |
Multilingual Mistral Medium leads
Llama 2-13B: 26.7 (#274), Mistral Medium: 52.3 (#86)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1024 | 1408 |
| LMArena Chinese | 1001 | 1448 |
| LMArena French | 1043 | 1460 |
| LMArena German | 1009 | 1433 |
| LMArena Japanese | 894 | 1378 |
| LMArena Korean | 953 | 1382 |
| LMArena Russian | 1055 | 1411 |
| LMArena Spanish | 1086 | 1433 |
Instruction Following Mistral Medium leads
Llama 2-13B: 53.5 (#282), Mistral Medium: 73.9 (#111)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1046 | 1398 |
Long Context Mistral Medium leads
Llama 2-13B: 32.3 (#264), Mistral Medium: 42.9 (#108)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1064 | 1406 |
Writing & Preference Mistral Medium leads
Llama 2-13B: 30.0 (#284), Mistral Medium: 60.2 (#97)
| Benchmark | Llama 2-13B | Mistral Medium |
|---|---|---|
| LMArena Text | 1085 | 1424 |
| LMArena Creative Writing | 1047 | 1391 |
| LMArena Multi-Turn | 1050 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is Llama 2-13B better than Mistral Medium?
Mistral Medium is the stronger model overall, scoring 36.0 to 29.1 on the Noometry Index.
Is Llama 2-13B or Mistral Medium better for coding?
Mistral Medium scores higher on coding benchmarks: 33.8 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Mistral Medium share?
18 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Medium has 36.