DeepSeek·released 2025-01-201 source
DeepSeek-R1-Distill-Llama-8B 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 1205 on Codeforces rating (self-reported)·0 of 5 independently reproduced
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| Codeforces rating | 1205rating | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| MATH-500 | 89.1pass@1 (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| AIME | 50.4pass@1 (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| GPQA diamond | 49accuracy (%) | self-reported· optimizedT1 | 2025-01-22DeepSeek AI |
| LiveCodeBench | 39.6pass@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 carries an 8-billion-parameter scale, placing it at the compact end of the spectrum. That compact size implies lower operating cost and more efficient deployment, though it offers less headroom than larger, more expensive models.
4 cited facts
This model is scored on five tracked benchmarks and holds no current top score among them. Since the record is self-reported, these figures should be treated as vendor claims rather than independently verified results.
3 cited facts
It trails the leader by an average of 186.4 points across benchmarks, a wide gap indicating it is well behind the front-of-pack. With no top scores held on tracked leaderboards, it has not yet demonstrated category leadership.
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-Llama-8B 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-Llama-8B has recorded scores on 5 benchmarks, each shown with its evidence status.
DeepSeek-R1-Distill-Llama-8B 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-Llama-8B has 5 tracked claims: 5 self-reported.