Model comparison
Codellama 70b Instruct vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Mistral AISummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and Mistral Medium 3.5 in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Mistral Medium 3.5 leads 51.9 to 24.8.
Side by side
| Codellama 70b Instruct | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 33.7 | 40.2 |
| Released | — | — |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 210K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 7 | 22 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | — | 1264 |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1461 |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 20.1 (#242), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1436 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| Epoch Capabilities Index | — | 141.35 |
Math Not comparable
Codellama 70b Instruct: —, Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | — | 1431 |
Knowledge Not comparable
Codellama 70b Instruct: —, Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1432 |
Multimodal Not comparable
Codellama 70b Instruct: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Mistral Medium 3.5 leads
Codellama 70b Instruct: 24.8 (#288), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 992 | 1404 |
| LMArena Chinese | — | 1442 |
| LMArena French | — | 1448 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1409 |
Instruction Following Mistral Medium 3.5 leads
Codellama 70b Instruct: 51.9 (#293), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1024 | 1415 |
Long Context Not comparable
Codellama 70b Instruct: —, Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1415 |
Writing & Preference Mistral Medium 3.5 leads
Codellama 70b Instruct: 33.4 (#277), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Codellama 70b Instruct | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1057 | 1421 |
| LMArena Creative Writing | — | 1374 |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |
Frequently asked questions
Is Codellama 70b Instruct better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Mistral Medium 3.5 better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 36.0 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Mistral Medium 3.5 share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Mistral Medium 3.5 has 22.