Model comparison
Codellama 70b Instruct vs Mistral Large
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.
Last verified . 7 shared benchmarks.
Meta
Mistral AISummary
- They share 7 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and Mistral Large in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 67.9 to 51.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 38.3% for Mistral Large.
Side by side
| Codellama 70b Instruct | Mistral Large | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 33.7 | 31.9 |
| Released | — | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 7 | 51 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), Mistral Large: 34.3 (#240)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 30% |
| BigCodeBench Complete | 49.6% | 38.3% |
| HumanEval+ | 65.9% | 62.2% |
| SciCode | — | 36.2% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| ALE-Bench | — | 264.7 |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Mistral Large: 28.6 (#89)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 20.1 (#242), Mistral Large: 15.8 (#310)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1257 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Not comparable
Codellama 70b Instruct: —, Mistral Large: 18.2 (#291)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Not comparable
Codellama 70b Instruct: —, Mistral Large: 30.1 (#230)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multilingual Mistral Large leads
Codellama 70b Instruct: 24.8 (#288), Mistral Large: 40.0 (#219)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Non-English | 992 | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Mistral Large leads
Codellama 70b Instruct: 51.9 (#293), Mistral Large: 67.9 (#191)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1024 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Not comparable
Codellama 70b Instruct: —, Mistral Large: 38.3 (#199)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Mistral Large leads
Codellama 70b Instruct: 33.4 (#277), Mistral Large: 40.7 (#242)
| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Text | 1057 | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Codellama 70b Instruct better than Mistral Large?
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.
Is Codellama 70b Instruct or Mistral Large better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 34.3 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Mistral Large share?
7 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Mistral Large has 51.