Coding · DeepSeek

DeepSeek-Coder Instruct on HumanEval: score, rank and what it means

DeepSeek-Coder Instruct scores 81.6 on HumanEval, placing it #192 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
81.6
0–100 scale
Rank
#192
of 600
Percentile
68th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
15.2
points

Score distribution

The chart shows the top 10 models on HumanEval, with DeepSeek-Coder Instruct highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 Instruct sits at #192 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 15.2 points. The median model in this index scores 77.4, which puts DeepSeek-Coder Instruct above the midpoint.

DeepSeek models average 75.7 on this benchmark. DeepSeek-Coder Instruct is 5.9 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 Instruct is 9.1 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 81.6 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 $4.34 per million input tokens, DeepSeek-Coder Instruct is above 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.

ModelProviderContextInput / 1MAvg score
Sonar Perplexity 200000 $10.57 76.0
Llama 3.1 Meta AI 200000 $4.16 76.3
o4 Mini OpenAI 200000 $11.92 77.7
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
GLM-4.5 Zhipu AI 200000 $4.55 78.2
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1

Other benchmarks for DeepSeek-Coder Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.5 134 78th
GPQA Diamond 70.6 243 60th
SWE-bench Verified 67.2 165 73th
MATH-500 81.1 189 69th
AIME 2025 73.5 196 67th
LiveCodeBench 71.7 154 74th
IFEval 84.7 197 67th
TruthfulQA 80.6 165 73th
HellaSwag 86.8 183 70th
MMMU 75.5 150 75th
Arena Elo 1392.8 237 61th

FAQ

What score does DeepSeek-Coder Instruct get on HumanEval?

DeepSeek-Coder Instruct scores 81.6 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does DeepSeek-Coder Instruct rank on HumanEval?

It ranks #192 of 600 models, in the 68th percentile. The leader is GPT-5.2 Pro at 96.8.

Is DeepSeek-Coder Instruct 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 Instruct cost?

DeepSeek-Coder Instruct costs $4.34 per million input tokens and $20.00 per million output tokens.

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