Model comparison
Llama 3.1-70B vs Mistral Medium 3.1
Mistral Medium 3.1 is the stronger model overall, scoring 31.5 to 29.4 on the Noometry Index. Llama 3.1-70B costs 2.0× less per token, which makes it the better buy when Mistral Medium 3.1's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Meta
Mistral AISummary
- They share 1 benchmark with published results for both. Llama 3.1-70B scores higher in 1 category and Mistral Medium 3.1 in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.6 to 35.6.
- Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- Mistral Medium 3.1 accepts more context: 131K tokens versus 128K.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-70B | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.4 | 31.5 |
| Released | 2024-07-23 | — |
| Weights | Open | Proprietary |
| Context window | 128K | 131K |
| Max output | 4K | 105K |
| Input $ / M tokens | $0.40 | $0.40 |
| Output $ / M tokens | $0.40 | $2 |
| Results tracked | 35 | 3 |
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Category by category
Coding Not comparable
Llama 3.1-70B: 29.8 (#292), Mistral Medium 3.1: —
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| LMArena Coding | 1260 | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 24.9 (#104), Mistral Medium 3.1: —
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Llama 3.1-70B leads
Llama 3.1-70B: 20.8 (#215), Mistral Medium 3.1: 10.1 (#336)
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1241 | — |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.91 | — |
Math Not comparable
Llama 3.1-70B: 12.7 (#298), Mistral Medium 3.1: —
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| LMArena Math | 1252 | — |
| MATH Level 5 | 36.7% | — |
Knowledge Not comparable
Llama 3.1-70B: 24.1 (#264), Mistral Medium 3.1: —
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
| MMLU | 80.1% | — |
Multilingual Not comparable
Llama 3.1-70B: 38.9 (#220), Mistral Medium 3.1: —
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1219 | — |
| LMArena Chinese | 1215 | — |
| LMArena French | 1260 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1253 | — |
Instruction Following Not comparable
Llama 3.1-70B: 65.5 (#218), Mistral Medium 3.1: —
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| IFEval | 82.1% | — |
| LMArena Instruction Following | 1231 | — |
Long Context Not comparable
Llama 3.1-70B: 37.6 (#208), Mistral Medium 3.1: —
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1241 | — |
Writing & Preference Mistral Medium 3.1 leads
Llama 3.1-70B: 35.6 (#262), Mistral Medium 3.1: 55.6 (#140)
| Benchmark | Llama 3.1-70B | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 784 | 1476 |
| LMArena Text | 1261 | — |
| LMArena Creative Writing | 1232 | — |
| WildBench | 75.8% | — |
| LMArena Multi-Turn | 1256 | — |
Frequently asked questions
Is Llama 3.1-70B better than Mistral Medium 3.1?
Mistral Medium 3.1 is the stronger model overall, scoring 31.5 to 29.4 on the Noometry Index. Llama 3.1-70B costs 2.0× less per token, which makes it the better buy when Mistral Medium 3.1's lead doesn't matter for your workload.
Which is cheaper, Llama 3.1-70B or Mistral Medium 3.1?
Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
Mistral Medium 3.1 does, with 131K tokens against 128K.
How many benchmarks do Llama 3.1-70B and Mistral Medium 3.1 share?
1 benchmark has published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Mistral Medium 3.1 has 3.