DeepSeek Coder 6.7B
DeepSeek Coder 6.7B (DeepSeek) was released on Nov 2, 2023. In the Epoch AI capability ranking (ECI), it ranks #262 out of 267 models, with 89.77.
Where DeepSeek Coder 6.7B stands out and where it falls behind, by the numbers
DeepSeek Coder 6.7B has published results on 4 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Feb 5, 2023 and Jan 31, 2024 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.
It is not in the top third of its generation on any test with 6 or more models compared.
Where it falls behind
Tests where it sits in the bottom half of its own generation.
See all 4 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| MMLU | 36.4% | #32 / 42 | #82 / 92 | 88.1% GPT-4o (May 2024) |
| ARC (AI2) | 36.4% | #38 / 42 | #58 / 65 | 95.3% DeepSeek-V3 (Mar 2025) |
| WinoGrande | 57.6% | #30 / 33 | #55 / 61 | 89.2% Llama 3.1-405B |
| GSM8K | 21.3% | #26 / 34 | #45 / 54 | 92.0% GPT-4 (Mar 2023) |
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 Coder 6.7B 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 |
|---|---|---|---|---|---|
| open_llama_7b | 91.80 | n/a | n/a | Jun 7, 2023 | |
| Phi-1.5 | Microsoft | 91.68 | n/a | n/a | Sep 11, 2023 |
| Baichuan1-7B | Baichuan | 90.61 | n/a | n/a | Jun 1, 2023 |
| RedPajama-INCITE-7B-Base | 90.58 | n/a | n/a | May 4, 2023 | |
| Dolly 2.0-12b | Databricks | 89.83 | n/a | n/a | Apr 11, 2023 |
| DeepSeek Coder 6.7B | DeepSeek | 89.77 | n/a | n/a | Nov 2, 2023 |
| StarCoder 2 3B | Hugging Face | 88.92 | n/a | n/a | Feb 22, 2024 |
Other models from DeepSeek
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| 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) |
| DeepSeek Coder 33B | Nov 2, 2023 | 96.45 | n/a | n/a | Open weights (restricted use) |
| DeepSeek Coder 6.7B | Nov 2, 2023 | 89.77 | n/a | n/a | Open weights (restricted use) |
| DeepSeek Coder 1.3B | Nov 2, 2023 | 63.88 | n/a | n/a | Open weights (restricted use) |
Have you used DeepSeek Coder 6.7B? Rate it
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What people ask about DeepSeek Coder 6.7B
Where does DeepSeek Coder 6.7B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, DeepSeek Coder 6.7B ranks #262 out of 267 models, with an ECI of 89.77. 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.
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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