DeepSeek-Coder Base on HumanEval: score, rank and what it means
DeepSeek-Coder Base scores 78.4 on HumanEval, placing it #283 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with DeepSeek-Coder Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, DeepSeek-Coder Base sits at #283 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 18.4 points. The median model in this index scores 77.4, which puts DeepSeek-Coder Base above the midpoint.
DeepSeek models average 75.7 on this benchmark. DeepSeek-Coder Base is 2.7 points above that provider line, so it is a stronger result than the average DeepSeek model.
Among coding models, the average is 72.5. DeepSeek-Coder Base is 5.9 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 78.4 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $3.53 per million input tokens, DeepSeek-Coder Base is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Fusion Pro | OpenRouter | 65536 | $8.69 | 72.2 |
| Llama 3.3 Groq | Groq | 32768 | $3.98 | 76.8 |
| Magistral Base | Mistral AI | 65536 | $3.86 | 75.6 |
| Qwen3-Coder Base | Alibaba Cloud | 200000 | $3.99 | 76.6 |
| DeepSeek-Coder Base | DeepSeek | 32768 | $3.53 | 74.1 |
| DBRX | Databricks | 65536 | $3.29 | 73.3 |
| Fusion Reasoning | OpenRouter | 65536 | $8.59 | 72.2 |
Other benchmarks for DeepSeek-Coder Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 78.9 | 211 | 65th | |
| GPQA Diamond | 70.8 | 240 | 60th | |
| SWE-bench Verified | 59.3 | 337 | 44th | |
| MATH-500 | 74.2 | 341 | 43th | |
| AIME 2025 | 71.7 | 223 | 63th | |
| LiveCodeBench | 67.3 | 242 | 60th | |
| IFEval | 81.6 | 282 | 53th | |
| TruthfulQA | 79.0 | 215 | 64th | |
| HellaSwag | 84.8 | 255 | 58th | |
| MMMU | 69.0 | 325 | 46th | |
| Arena Elo | 1388.5 | 255 | 58th |
FAQ
What score does DeepSeek-Coder Base get on HumanEval?
DeepSeek-Coder Base scores 78.4 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does DeepSeek-Coder Base rank on HumanEval?
It ranks #283 of 600 models, in the 53rd percentile. The leader is GPT-5.2 Pro at 96.8.
Is DeepSeek-Coder Base good at HumanEval?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the HumanEval score calculated?
HumanEval is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does DeepSeek-Coder Base cost?
DeepSeek-Coder Base costs $3.53 per million input tokens and $12.53 per million output tokens.