Model comparison
DeepSeek LLM 67B vs Magistral Small
Magistral Small is the stronger model overall, scoring 30.2 to 24.9 on the Noometry Index.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 1 category and Magistral Small in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Magistral Small leads 30.9 to 7.0.
- The biggest single-benchmark swing is GPQA Diamond: 24.6% for DeepSeek LLM 67B and 56.1% for Magistral Small.
Side by side
| DeepSeek LLM 67B | Magistral Small | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 30.2 |
| Released | 2023-11-29 | 2025-06-10 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 40K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $1.50 |
| Results tracked | 15 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Magistral Small leads
DeepSeek LLM 67B: 31.9 (#278), Magistral Small: 38.4 (#176)
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| SciCode | — | 35.2% |
| LMArena Coding | 1096 | — |
Reasoning DeepSeek LLM 67B leads
DeepSeek LLM 67B: 16.5 (#304), Magistral Small: 6.8 (#350)
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| Chess Puzzles | 0% | 3% |
| Epoch Capabilities Index | 110.5 | 133.19 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 6.3% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | 1070 | — |
| DTBench | — | 61.3% |
Math Magistral Small leads
DeepSeek LLM 67B: 8.7 (#324), Magistral Small: 26.2 (#261)
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 30% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Magistral Small leads
DeepSeek LLM 67B: 7.0 (#313), Magistral Small: 30.9 (#223)
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| GPQA Diamond | 24.6% | 56.1% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Magistral Small: —
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Magistral Small: —
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Magistral Small: —
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), Magistral Small: —
| Benchmark | DeepSeek LLM 67B | Magistral Small |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Magistral Small?
Magistral Small is the stronger model overall, scoring 30.2 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Magistral Small better for coding?
Magistral Small scores higher on coding benchmarks: 38.4 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Magistral Small share?
4 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Magistral Small has 10.