Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs DeepSeek-R1-Distill-Qwen-14B
DeepSeek-R1-Distill-Qwen-14B is the stronger model overall, scoring 32.7 to 26.1 on the Noometry Index.
Last verified . 5 shared benchmarks.
DeepSeekSummary
- They share 5 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-1.5B scores higher in 0 categories and DeepSeek-R1-Distill-Qwen-14B in 4 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-R1-Distill-Qwen-14B leads 36.9 to 21.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 7.9% for DeepSeek-R1-Distill-Qwen-1.5B and 48.4% for DeepSeek-R1-Distill-Qwen-14B.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | DeepSeek-R1-Distill-Qwen-14B | |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Noometry Index | 26.1 | 32.7 |
| Released | 2025-01-20 | 2025-01-20 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 5 | 7 |
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Category by category
Coding DeepSeek-R1-Distill-Qwen-14B leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), DeepSeek-R1-Distill-Qwen-14B: 36.9 (#200)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| BigCodeBench Instruct | 7% | 38.1% |
| BigCodeBench Complete | 7.9% | 48.4% |
Reasoning Too close to call
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), DeepSeek-R1-Distill-Qwen-14B: 19.2 (#263)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| Epoch Capabilities Index | — | 135.43 |
Math DeepSeek-R1-Distill-Qwen-14B leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), DeepSeek-R1-Distill-Qwen-14B: 35.5 (#184)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | 50.6% |
| MATH Level 5 | — | 87.1% |
Knowledge DeepSeek-R1-Distill-Qwen-14B leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), DeepSeek-R1-Distill-Qwen-14B: 24.1 (#270)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| GPQA Diamond | 33.6% | 44.7% |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than DeepSeek-R1-Distill-Qwen-14B?
DeepSeek-R1-Distill-Qwen-14B is the stronger model overall, scoring 32.7 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or DeepSeek-R1-Distill-Qwen-14B better for coding?
DeepSeek-R1-Distill-Qwen-14B scores higher on coding benchmarks: 36.9 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and DeepSeek-R1-Distill-Qwen-14B share?
5 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and DeepSeek-R1-Distill-Qwen-14B has 7.