Model comparison
DeepSeek-R1-Distill-Llama-70B vs Pixtral Large
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISummary
- The widest gap is in writing & preference, where DeepSeek-R1-Distill-Llama-70B leads 49.0 to 32.9.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Pixtral Large | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.8 | 32.2 |
| Released | 2025-01-20 | 2024-11-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 13 | 3 |
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Category by category
Coding Not comparable
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Pixtral Large: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Pixtral Large |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Pixtral Large: 21.7 (#218)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Pixtral Large |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | 67.6% | — |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Not comparable
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Pixtral Large: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | 89.9% | — |
Knowledge Not comparable
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Pixtral Large: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Pixtral Large |
|---|---|---|
| GPQA Diamond | 55.7% | — |
Multimodal Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Pixtral Large: 30.6 (#111)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Pixtral Large: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Pixtral Large |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
Writing & Preference DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Pixtral Large: 32.9 (#278)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | — | 988 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Pixtral Large?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 32.2 on the Noometry Index.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Pixtral Large share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Pixtral Large has 3.