Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Qwen3 8B
Qwen3 8B is the stronger model overall, scoring 33.7 to 26.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-1.5B scores higher in 1 category and Qwen3 8B in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 8B leads 36.1 to 16.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 21.4% for DeepSeek-R1-Distill-Qwen-1.5B and 56.1% for Qwen3 8B.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Qwen3 8B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 26.1 | 33.7 |
| Released | 2025-01-20 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.18 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 5 | 11 |
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Category by category
Coding Qwen3 8B leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Qwen3 8B: 34.0 (#248)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3 8B |
|---|---|---|
| SciCode | — | 22.6% |
| BigCodeBench Instruct | 7% | — |
| BigCodeBench Complete | 7.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Qwen3 8B: 30.2 (#78)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning DeepSeek-R1-Distill-Qwen-1.5B leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Qwen3 8B: 16.6 (#303)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3 8B |
|---|---|---|
| Chess Puzzles | 0% | 5% |
| CritPt | — | 0% |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math Qwen3 8B leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Qwen3 8B: 34.9 (#191)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | 56.1% |
Knowledge Qwen3 8B leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Qwen3 8B: 36.1 (#173)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3 8B |
|---|---|---|
| GPQA Diamond | 33.6% | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Qwen3 8B: 37.9 (#210)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Qwen3 8B?
Qwen3 8B is the stronger model overall, scoring 33.7 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Qwen3 8B better for coding?
Qwen3 8B scores higher on coding benchmarks: 34.0 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Qwen3 8B share?
3 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Qwen3 8B has 11.