Coding · DeepSeek

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

DeepSeek-Coder scores 68.2 on LiveCodeBench, placing it #223 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
68.2
0–100 scale
Rank
#223
of 600
Percentile
63th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
16.9
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, DeepSeek-Coder sits at #223 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 16.9 points. The median model in this index scores 64.7, which puts DeepSeek-Coder above the midpoint.

DeepSeek models average 63.4 on this benchmark. DeepSeek-Coder is 4.8 points above that provider line, so it is a stronger result than the average DeepSeek model.

Among coding models, the average is 59.3. DeepSeek-Coder is 8.9 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 68.2 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 $4.55 per million input tokens, DeepSeek-Coder is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Mistral Small 3 Instruct Mistral AI 32768 $3.97 75.1
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7

Other benchmarks for DeepSeek-Coder

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.4 229 62th
GPQA Diamond 74.0 167 72th
SWE-bench Verified 68.4 136 77th
HumanEval 81.5 195 68th
MATH-500 79.9 209 65th
AIME 2025 78.7 105 83th
IFEval 86.6 142 76th
TruthfulQA 81.5 140 77th
HellaSwag 87.3 162 73th
MMMU 74.1 183 70th
Arena Elo 1403.6 198 67th

FAQ

What score does DeepSeek-Coder get on LiveCodeBench?

DeepSeek-Coder scores 68.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does DeepSeek-Coder rank on LiveCodeBench?

It ranks #223 of 600 models, in the 63rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is DeepSeek-Coder good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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 cost?

DeepSeek-Coder costs $4.55 per million input tokens and $24.30 per million output tokens.

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