Model comparison
Llama2 70b Steerlm Chat vs Magistral Medium
Magistral Medium is the stronger model overall, scoring 35.2 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIA
Mistral AISummary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat 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 31.6.
Side by side
| Llama2 70b Steerlm Chat | Magistral Medium | |
|---|---|---|
| Provider | NVIDIA | Mistral AI |
| Noometry Index | 31.8 | 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 | 9 | 22 |
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Category by category
Coding Magistral Medium leads
Llama2 70b Steerlm Chat: 29.9 (#300), Magistral Medium: 39.1 (#161)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Coding | 1025 | 1319 |
| SciCode | — | 39.2% |
Reasoning Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 20.0 (#246), Magistral Medium: 8.6 (#348)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
Math Magistral Medium leads
Llama2 70b Steerlm Chat: 31.3 (#226), Magistral Medium: 35.1 (#189)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Math | 1072 | 1250 |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Magistral Medium: 33.5 (#202)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Expert | — | 1223 |
Multilingual Magistral Medium leads
Llama2 70b Steerlm Chat: 28.8 (#270), Magistral Medium: 39.6 (#224)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1063 | 1232 |
| LMArena Chinese | — | 1227 |
| LMArena French | — | 1267 |
| LMArena German | — | 1248 |
| LMArena Japanese | — | 1175 |
| LMArena Korean | — | 1125 |
| LMArena Russian | — | 1224 |
| LMArena Spanish | — | 1271 |
Instruction Following Magistral Medium leads
Llama2 70b Steerlm Chat: 54.2 (#279), Magistral Medium: 66.0 (#211)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1060 | 1254 |
Long Context Magistral Medium leads
Llama2 70b Steerlm Chat: 30.4 (#288), Magistral Medium: 39.3 (#183)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 998 | 1295 |
Writing & Preference Magistral Medium leads
Llama2 70b Steerlm Chat: 31.6 (#283), Magistral Medium: 46.3 (#219)
| Benchmark | Llama2 70b Steerlm Chat | Magistral Medium |
|---|---|---|
| LMArena Text | 1098 | 1255 |
| LMArena Creative Writing | 1091 | 1245 |
| LMArena Multi-Turn | 1058 | 1275 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Magistral Medium?
Magistral Medium is the stronger model overall, scoring 35.2 to 31.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Magistral Medium better for coding?
Magistral Medium scores higher on coding benchmarks: 39.1 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Magistral Medium share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Magistral Medium has 22.