Model comparison
Llama 3-70B vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 28.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and Mistral Medium 3.5 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Medium 3.5 leads 39.1 to 12.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 35.1% for Llama 3-70B and 41.4% for Mistral Medium 3.5.
Side by side
| Llama 3-70B | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.8 | 40.2 |
| Released | 2024-04-18 | — |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 210K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 31 | 22 |
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Category by category
Coding Too close to call
Llama 3-70B: 35.8 (#218), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1206 | 1461 |
| LMArena WebDev | — | 1264 |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 21.1 (#139), Mistral Medium 3.5: —
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| Cybench | 5% | — |
Reasoning Too close to call
Llama 3-70B: 18.0 (#288), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 41.4% |
| LMArena Hard Prompts | 1195 | 1436 |
| Epoch Capabilities Index | 122.93 | 141.35 |
| NYT Connections (extended) | — | 12.9% |
| DTBench | 54.2% | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Mistral Medium 3.5 leads
Llama 3-70B: 12.8 (#305), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1218 | 1431 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| MATH Level 5 | 22.6% | — |
Knowledge Mistral Medium 3.5 leads
Llama 3-70B: 20.8 (#277), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1149 | 1432 |
| GPQA Diamond | 40.6% | — |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Mistral Medium 3.5 leads
Llama 3-70B: 33.6 (#251), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1142 | 1404 |
| LMArena Chinese | 1114 | 1442 |
| LMArena French | 1232 | 1448 |
| LMArena German | 1169 | 1451 |
| LMArena Korean | 1017 | 1385 |
| LMArena Russian | 1159 | 1395 |
| LMArena Spanish | 1241 | 1409 |
| LMArena Japanese | 1017 | — |
Instruction Following Mistral Medium 3.5 leads
Llama 3-70B: 62.5 (#238), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1194 | 1415 |
Long Context Mistral Medium 3.5 leads
Llama 3-70B: 35.6 (#240), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1174 | 1415 |
Writing & Preference Mistral Medium 3.5 leads
Llama 3-70B: 42.8 (#231), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1221 | 1421 |
| LMArena Creative Writing | 1210 | 1374 |
| LMArena Multi-Turn | 1223 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Llama 3-70B better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 28.8 on the Noometry Index.
Is Llama 3-70B or Mistral Medium 3.5 better for coding?
They score almost the same on coding (35.8 vs 36.0); test both on your own repository before choosing.
How many benchmarks do Llama 3-70B and Mistral Medium 3.5 share?
18 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Mistral Medium 3.5 has 22.