DeepSeek-R1-Distill-Qwen-14B
DeepSeek-R1-Distill-Qwen-14B (DeepSeek) was released on Jan 20, 2025. In the Epoch AI capability ranking (ECI), it ranks #143 out of 267 models, with 135.44. Against models of the same generation, its best result is on MATH level 5: 87.1%, #9 of 43.
Where DeepSeek-R1-Distill-Qwen-14B stands out and where it falls behind, by the numbers
DeepSeek-R1-Distill-Qwen-14B has published results on 3 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Apr 25, 2024 and Apr 20, 2025 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.
Where it stands out
Tests where it sits in the top third of its own generation.
Where it falls behind
Tests where it sits in the bottom half of its own generation.
See all 3 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 44.7% | #34 / 49 | #142 / 173 | 96.4% Gemini 4 Argon |
| AIME 2024 and 2025 (OTIS) | 50.6% | #10 / 45 | #115 / 168 | 100.0% GPT-5.5 |
| MATH level 5 | 87.1% | #9 / 43 | #18 / 73 | 98.1% GPT-5 |
For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.
What to compare DeepSeek-R1-Distill-Qwen-14B with
The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.
| Model | Lab | ECI | ELO | LiveBench | Release |
|---|---|---|---|---|---|
| Qwen3-8B | Alibaba | 136.17 | n/a | n/a | Apr 28, 2025 |
| o1-mini | OpenAI | 135.82 | 1,362 | n/a | Sep 12, 2024 |
| Mistral Medium 3.1 | Mistral AI | 135.67 | n/a | n/a | Aug 12, 2025 |
| DeepSeek-R1-Distill-Qwen-14B | DeepSeek | 135.44 | n/a | n/a | Jan 20, 2025 |
| Gemini 2.0 Flash Thinking Exp | Google DeepMind | 135.39 | n/a | n/a | Jan 21, 2025 |
| Gemini 2.0 Flash Thinking (Jan 2025) | Google DeepMind | 135.36 | n/a | n/a | Jan 21, 2025 |
| GPT-4.1 mini | OpenAI | 135.00 | n/a | n/a | Apr 14, 2025 |
Other models from DeepSeek
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| DeepSeek-V3.2 | Dec 1, 2025 | 146.11 | 1,455 | n/a | Open weights (unrestricted) |
| DeepSeek-V3.2-Exp | Sep 29, 2025 | 144.97 | 1,461 | n/a | Open weights (unrestricted) |
| DeepSeek-V3.1 | Aug 21, 2025 | 139.91 | 1,469 | n/a | Open weights (unrestricted) |
| DeepSeek-R1 (May 2025) | May 28, 2025 | 141.27 | 1,400 | n/a | Open weights (unrestricted) |
| DeepSeek-V3 (Mar 2025) | Mar 24, 2025 | 135.93 | 1,346 | n/a | Open weights (restricted use) |
| DeepSeek-R1-Distill-Qwen-32B | Jan 20, 2025 | 137.42 | n/a | n/a | Open weights (unrestricted) |
| DeepSeek-R1-Distill-Qwen-14B | Jan 20, 2025 | 135.44 | n/a | n/a | Open weights (unrestricted) |
| DeepSeek-V2 (MoE-236B, May 2024) | May 7, 2024 | 124.78 | n/a | n/a | Open weights (restricted use) |
| DeepSeek LLM 67B | Nov 29, 2023 | 110.47 | n/a | n/a | Open weights (restricted use) |
Have you used DeepSeek-R1-Distill-Qwen-14B? Rate it
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What people ask about DeepSeek-R1-Distill-Qwen-14B
Where does DeepSeek-R1-Distill-Qwen-14B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, DeepSeek-R1-Distill-Qwen-14B ranks #143 out of 267 models, with an ECI of 135.44. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.
What is DeepSeek-R1-Distill-Qwen-14B best at?
Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of DeepSeek-R1-Distill-Qwen-14B are: MATH level 5 (#9 of 43); AIME 2024 and 2025 (OTIS) (#10 of 45). The yardstick is its position among the models of that period that took the same test.
Where do the numbers on this page come from?
From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.
Where each number comes from
Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.
The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.
LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.
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