Model comparison
Codellama 34b Instruct vs Magistral Medium
Magistral Medium is the stronger model overall, scoring 35.2 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
Mistral AISummary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 1 category and Magistral Medium in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Magistral Medium leads 46.3 to 28.2.
Side by side
| Codellama 34b Instruct | Magistral Medium | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.8 | 35.2 |
| Released | — | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $5 |
| Results tracked | 14 | 22 |
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Category by category
Coding Magistral Medium leads
Codellama 34b Instruct: 28.5 (#314), Magistral Medium: 39.1 (#161)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Coding | 1046 | 1319 |
| SciCode | — | 39.2% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning Codellama 34b Instruct leads
Codellama 34b Instruct: 19.6 (#255), Magistral Medium: 8.6 (#348)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
Math Magistral Medium leads
Codellama 34b Instruct: 31.0 (#230), Magistral Medium: 35.1 (#189)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Math | 1056 | 1250 |
Knowledge Not comparable
Codellama 34b Instruct: —, Magistral Medium: 33.5 (#202)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Expert | — | 1223 |
Multilingual Magistral Medium leads
Codellama 34b Instruct: 25.8 (#284), Magistral Medium: 39.6 (#224)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1011 | 1232 |
| LMArena Chinese | 976 | 1227 |
| LMArena French | — | 1267 |
| LMArena German | — | 1248 |
| LMArena Japanese | — | 1175 |
| LMArena Korean | — | 1125 |
| LMArena Russian | — | 1224 |
| LMArena Spanish | — | 1271 |
Instruction Following Magistral Medium leads
Codellama 34b Instruct: 52.2 (#291), Magistral Medium: 66.0 (#211)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1028 | 1254 |
Long Context Magistral Medium leads
Codellama 34b Instruct: 30.9 (#284), Magistral Medium: 39.3 (#183)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1013 | 1295 |
Writing & Preference Magistral Medium leads
Codellama 34b Instruct: 28.2 (#297), Magistral Medium: 46.3 (#219)
| Benchmark | Codellama 34b Instruct | Magistral Medium |
|---|---|---|
| LMArena Text | 1066 | 1255 |
| LMArena Creative Writing | 1032 | 1245 |
| LMArena Multi-Turn | 1015 | 1275 |
Frequently asked questions
Is Codellama 34b Instruct better than Magistral Medium?
Magistral Medium is the stronger model overall, scoring 35.2 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Magistral Medium better for coding?
Magistral Medium scores higher on coding benchmarks: 39.1 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Magistral Medium share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Magistral Medium has 22.