DeepSeek·released 2025-01-201 source
DeepSeek-R1-Distill-Qwen-7B 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 1189 on Codeforces rating (self-reported)·0 of 5 independently reproduced
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| Codeforces rating | 1189rating | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| MATH-500 | 92.8pass@1 (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| AIME | 55.5pass@1 (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| GPQA diamond | 49.1accuracy (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| LiveCodeBench | 37.6pass@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 mid-size 7-billion-parameter system. That scale implies a practical trade-off: it is cheaper and more efficient to run than frontier-scale models, though it offers less headroom for the most demanding tasks.
3 cited facts
This model is scored on 5 tracked benchmarks and currently holds no top score on any of them. The record is self-reported: these figures are vendor-claimed and not yet independently confirmed, so they should be read as claims rather than verified results.
3 cited facts
With an average gap of 188.22 points behind the state of the art, this model sits well behind the leaders. It holds the top score on none of the tracked benchmarks, so it has no category leadership 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, curated_models, curated_param_counts
DeepSeek-R1-Distill-Qwen-7B 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-7B has recorded scores on 5 benchmarks, each shown with its evidence status.
DeepSeek-R1-Distill-Qwen-7B 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-7B has 5 tracked claims: 5 self-reported.