DeepSeek·released 2025-01-201 source
DeepSeek-R1-Distill-Qwen-1.5B benchmark scores: 5 benchmarks tracked. 0% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 5 benchmarks·best result 954 on Codeforces rating (self-reported)·0 of 5 independently reproduced
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| Codeforces rating | 954rating | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| MATH-500 | 83.9pass@1 (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| GPQA diamond | 33.8accuracy (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| AIME | 28.9pass@1 (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| LiveCodeBench | 16.9pass@1 (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
Claims drawn from cited facts, not live model generation.
Developed by DeepSeek and released in 2025, this model is a compact 1.78-billion-parameter model. That compact scale implies efficiency and lower cost, trading off the headroom and expense of larger models.
4 cited facts
This model is scored on 5 tracked benchmarks, but it holds no current top score on any of them. Its results are self-reported, meaning the figures are vendor claims that have not been independently confirmed, so they should be read as claims rather than verified outcomes.
3 cited facts
On average it trails the SOTA leader by 249.94 points under the disclosed harness, a wide score gap that reads as well behind the leaders rather than at the frontier. It holds the top score on 0 benchmarks, so there is no genuine category leadership indicated yet.
2 cited facts
2 facts cross-checked across data sources: 2 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: curated_benchmark_scores, huggingface_models
DeepSeek-R1-Distill-Qwen-1.5B is an AI model developed by DeepSeek, released 2025-01-20. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
DeepSeek-R1-Distill-Qwen-1.5B has recorded scores on 5 benchmarks, each shown with its evidence status.
DeepSeek-R1-Distill-Qwen-1.5B has recorded scores on 5 benchmarks — AIME, Codeforces rating, GPQA diamond, LiveCodeBench, MATH-500. The full table above shows each score with its evidence status.
0 of 5 recorded scores (0%) are independently reproduced rather than self-reported by the lab.
DeepSeek-R1-Distill-Qwen-1.5B has 5 tracked claims: 5 self-reported.