Model comparison
Llama 3.1-70B vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.6 on the Noometry Index. Llama 3.1-70B costs 2.6× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 12 shared benchmarks.
Meta
Mistral AISummary
- They share 12 benchmarks with published results for both. Llama 3.1-70B scores higher in 0 categories and Mistral Large 4 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 13.5.
- Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 128K.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-70B | Mistral Large 4 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 43.1 |
| Released | 2024-07-23 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 262K |
| Input $ / M tokens | $0.40 | $0.68 |
| Output $ / M tokens | $0.40 | $2.09 |
| Results tracked | 35 | 15 |
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Category by category
Coding Mistral Large 4 leads
Llama 3.1-70B: 30.3 (#296), Mistral Large 4: 48.6 (#57)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1260 | 1475 |
| LMArena WebDev | — | 1541 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Mistral Large 4: —
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Too close to call
Llama 3.1-70B: 21.6 (#220), Mistral Large 4: 22.5 (#192)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Mistral Large 4 leads
Llama 3.1-70B: 13.5 (#304), Mistral Large 4: 40.4 (#91)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1252 | 1488 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |
Knowledge Mistral Large 4 leads
Llama 3.1-70B: 24.2 (#269), Mistral Large 4: 36.6 (#166)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1209 | 1447 |
| GPQA Diamond | 44.2% | — |
| SimpleQA Verified | — | 20% |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |
Multilingual Mistral Large 4 leads
Llama 3.1-70B: 38.8 (#225), Mistral Large 4: 52.6 (#82)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1219 | 1415 |
| LMArena Chinese | 1215 | 1491 |
| LMArena Russian | 1234 | 1414 |
| LMArena French | 1261 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Spanish | 1253 | — |
Instruction Following Mistral Large 4 leads
Llama 3.1-70B: 65.3 (#223), Mistral Large 4: 75.0 (#76)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1231 | 1424 |
| IFEval | 82.1% | — |
Long Context Mistral Large 4 leads
Llama 3.1-70B: 37.6 (#214), Mistral Large 4: 43.6 (#89)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1241 | 1429 |
Writing & Preference Mistral Large 4 leads
Llama 3.1-70B: 35.4 (#267), Mistral Large 4: 60.4 (#97)
| Benchmark | Llama 3.1-70B | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1261 | 1427 |
| LMArena Creative Writing | 1232 | 1361 |
| LMArena Multi-Turn | 1256 | 1424 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.6 on the Noometry Index. Llama 3.1-70B costs 2.6× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, Llama 3.1-70B or Mistral Large 4?
Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is Llama 3.1-70B or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 30.3 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 128K.
How many benchmarks do Llama 3.1-70B and Mistral Large 4 share?
12 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Mistral Large 4 has 15.