Model comparison
Llama 3.1-70B vs Mistral Large 3
Mistral Large 3 is the stronger model overall, scoring 39.1 to 29.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
Meta
Mistral AISummary
- They share 18 benchmarks with published results for both. Llama 3.1-70B scores higher in 1 category and Mistral Large 3 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 3 leads 38.7 to 13.5.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.
- Mistral Large 3 accepts more context: 262K tokens versus 128K.
Side by side
| Llama 3.1-70B | Mistral Large 3 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 39.1 |
| Released | 2024-07-23 | 2025-12-02 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 8K |
| Input $ / M tokens | $0.40 | $0.25 |
| Output $ / M tokens | $0.40 | $0.75 |
| Results tracked | 35 | 24 |
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Category by category
Coding Mistral Large 3 leads
Llama 3.1-70B: 30.3 (#296), Mistral Large 3: 34.4 (#237)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1260 | 1448 |
| LMArena WebDev | — | 1230 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Mistral Large 3: —
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Llama 3.1-70B leads
Llama 3.1-70B: 21.6 (#220), Mistral Large 3: 15.2 (#319)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Mistral Large 3 leads
Llama 3.1-70B: 13.5 (#304), Mistral Large 3: 38.7 (#129)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1252 | 1414 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |
Knowledge Mistral Large 3 leads
Llama 3.1-70B: 24.2 (#269), Mistral Large 3: 36.0 (#177)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1209 | 1421 |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| Vectara Hallucination Rate | — | 14.5% |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |
Multimodal Not comparable
Llama 3.1-70B: —, Mistral Large 3: 38.2 (#66)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
Multilingual Mistral Large 3 leads
Llama 3.1-70B: 38.8 (#225), Mistral Large 3: 52.5 (#84)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1219 | 1413 |
| LMArena Chinese | 1215 | 1447 |
| LMArena French | 1261 | 1455 |
| LMArena German | 1222 | 1437 |
| LMArena Japanese | 1132 | 1394 |
| LMArena Korean | 1140 | 1384 |
| LMArena Russian | 1234 | 1411 |
| LMArena Spanish | 1253 | 1440 |
Instruction Following Mistral Large 3 leads
Llama 3.1-70B: 65.3 (#223), Mistral Large 3: 74.0 (#108)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1231 | 1403 |
| IFEval | 82.1% | — |
Long Context Mistral Large 3 leads
Llama 3.1-70B: 37.6 (#214), Mistral Large 3: 43.1 (#105)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1241 | 1413 |
Writing & Preference Mistral Large 3 leads
Llama 3.1-70B: 35.4 (#267), Mistral Large 3: 60.0 (#101)
| Benchmark | Llama 3.1-70B | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1261 | 1428 |
| LMArena Creative Writing | 1232 | 1386 |
| EQ-Bench Creative Writing | 784 | 1412 |
| LMArena Multi-Turn | 1256 | 1429 |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Mistral Large 3?
Mistral Large 3 is the stronger model overall, scoring 39.1 to 29.6 on the Noometry Index.
Which is cheaper, Llama 3.1-70B or Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.
Is Llama 3.1-70B or Mistral Large 3 better for coding?
Mistral Large 3 scores higher on coding benchmarks: 34.4 versus 30.3 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 128K.
How many benchmarks do Llama 3.1-70B and Mistral Large 3 share?
18 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Mistral Large 3 has 24.