# R1 Distill Llama 70B

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DeepSeek

Canonical URL: https://benchize.com/models/deepseek-r1-distill-llama-70b
Last updated: Thu, 22 Oct 2026 06:30:09 GMT

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DeepSeek

## Benchmarks

| Benchmark | Score | ± | Rank | Source |  |
| --- | --- | --- | --- | --- | --- |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,252 | — | 187 / 191 | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1252 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_deepseek_deepseek_r1_distill_llama_70b ### Reported statistics coverageCount 27 draws 0 judged 50 losses 31 rank 313 ratingDeviation 28 wins 19 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label R1 Distill Llama 70B Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/297` |  |  |  |  |  |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 51.39% | SE ±6.05 pp | 91 / 124 | [epoch ai · OTIS Mock AIME 2024-2025](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.5138888888888888 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.5138888888888888 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion DeepSeek-R1-Distill-Llama-70B ### Reported statistics Uncertainty Standard error: ±6.05 pp standardError 0.060540263104731575 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label DeepSeek-R1-Distill-Llama-70B Source version OTIS Mock AIME 2024-2025 Evaluated 2025-03-07T23:03:59.002Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/259` |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 55.74% | SE ±2.97 pp | 100 / 126 | [epoch ai · GPQA diamond](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.5574494949494949 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.5574494949494949 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion DeepSeek-R1-Distill-Llama-70B ### Reported statistics Uncertainty Standard error: ±2.97 pp standardError 0.02973465219179067 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label DeepSeek-R1-Distill-Llama-70B Source version GPQA diamond Evaluated 2025-03-10T20:08:15.034Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/250` |  |  |  |  |  |
| [MATH Level 5](https://benchize.com/benchmarks/epoch-ai%3Amath_level_5.md) | 89.9% | SE ±0.68 pp | 5 / 21 | [epoch ai · MATH level 5](https://epoch.ai/data/benchmark_data.zip#file=math_level_5.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.8989803625377644 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.8989803625377644 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion MATH level 5 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion DeepSeek-R1-Distill-Llama-70B ### Reported statistics Uncertainty Standard error: ±0.68 pp standardError 0.006818015200174493 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=math_level_5.csv) Source epoch ai Original model label DeepSeek-R1-Distill-Llama-70B Source version MATH level 5 Evaluated 2025-03-10T22:53:10.180Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `041b4bcb991a81d66152327113ef6d38e64cd8cce93d1e6ec821d1b9e47c1de3` Source locator `/rows/37` |  |  |  |  |  |

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Cite as: R1 Distill Llama 70B — Benchize, https://benchize.com/models/deepseek-r1-distill-llama-70b (retrieved 2026-10-22)