Coding · DeepSeek

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

DeepSeek-Coder Chat scores 82.5 on HumanEval, placing it #173 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
82.5
0–100 scale
Rank
#173
of 600
Percentile
71th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
14.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with DeepSeek-Coder Chat 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 Chat sits at #173 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 14.3 points. The median model in this index scores 77.4, which puts DeepSeek-Coder Chat above the midpoint.

DeepSeek models average 75.7 on this benchmark. DeepSeek-Coder Chat is 6.8 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 Chat is 10.0 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 82.5 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 $4.20 per million input tokens, DeepSeek-Coder Chat 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
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Sonar Pro Perplexity 128000 $13.01 79.1
Codestral Instruct Mistral AI 65536 $4.01 75.1
Command R+ Chat Cohere 32768 $4.02 76.0
DeepSeek-Coder Chat DeepSeek 200000 $4.20 77.3
ERNIE 4.0 Baidu 32768 $11.37 76.7
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0

Other benchmarks for DeepSeek-Coder Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.9 244 59th
GPQA Diamond 74.0 168 72th
SWE-bench Verified 64.5 221 63th
MATH-500 81.6 174 71th
AIME 2025 70.1 255 58th
LiveCodeBench 69.6 199 67th
IFEval 85.8 163 73th
TruthfulQA 79.9 180 70th
HellaSwag 88.1 137 77th
MMMU 76.5 124 79th
Arena Elo 1414.5 170 72th

FAQ

What score does DeepSeek-Coder Chat get on HumanEval?

DeepSeek-Coder Chat scores 82.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does DeepSeek-Coder Chat rank on HumanEval?

It ranks #173 of 600 models, in the 71st percentile. The leader is GPT-5.2 Pro at 96.8.

Is DeepSeek-Coder Chat 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 Chat cost?

DeepSeek-Coder Chat costs $4.20 per million input tokens and $19.27 per million output tokens.

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