Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct is the stronger model overall, scoring 30.1 to 26.1 on the Noometry Index.
Last verified . 5 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-1.5B scores higher in 1 category and Qwen2.5 32B Instruct in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen2.5 32B Instruct leads 38.7 to 21.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 7.9% for DeepSeek-R1-Distill-Qwen-1.5B and 52.3% for Qwen2.5 32B Instruct.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 26.1 | 30.1 |
| Released | 2025-01-20 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 5 | 7 |
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Category by category
Coding Qwen2.5 32B Instruct leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | 7% | 45% |
| BigCodeBench Complete | 7.9% | 52.3% |
Reasoning Too close to call
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| Epoch Capabilities Index | — | 128.52 |
Math DeepSeek-R1-Distill-Qwen-1.5B leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | 7.4% |
| MATH Level 5 | — | 56.1% |
Knowledge Qwen2.5 32B Instruct leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | 33.6% | 46.1% |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct is the stronger model overall, scoring 30.1 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Qwen2.5 32B Instruct better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Qwen2.5 32B Instruct share?
5 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Qwen2.5 32B Instruct has 7.