Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Mistral Nemo
DeepSeek-R1-Distill-Qwen-1.5B and Mistral Nemo score almost the same on the Noometry Index (26.1 vs 26.4), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 1 benchmark with published results for both. DeepSeek-R1-Distill-Qwen-1.5B scores higher in 1 category and Mistral Nemo in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-R1-Distill-Qwen-1.5B leads 16.0 to 12.3.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Mistral Nemo | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 26.1 | 26.4 |
| Released | 2025-01-20 | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 5 | 10 |
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Category by category
Coding Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Mistral Nemo: —
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Mistral Nemo |
|---|---|---|
| BigCodeBench Instruct | 7% | — |
| BigCodeBench Complete | 7.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Mistral Nemo: 23.5 (#125)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Mistral Nemo: 20.7 (#232)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Mistral Nemo |
|---|---|---|
| Chess Puzzles | 0% | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Mistral Nemo leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Mistral Nemo: 25.5 (#268)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Mistral Nemo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge DeepSeek-R1-Distill-Qwen-1.5B leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Mistral Nemo: 12.3 (#298)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 33.6% | 29.9% |
| BoolQ | — | 82.5% |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Mistral Nemo: 28.5 (#296)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | — | 881 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Mistral Nemo?
DeepSeek-R1-Distill-Qwen-1.5B and Mistral Nemo score almost the same on the Noometry Index (26.1 vs 26.4), so choose on price, context window or the category you care about most.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Mistral Nemo share?
1 benchmark has published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Mistral Nemo has 10.