Mathematics · DeepSeek

DeepSeek-Coder on AIME 2025: score, rank and what it means

DeepSeek-Coder scores 78.7 on AIME 2025, placing it #105 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
78.7
0–100 scale
Rank
#105
of 600
Percentile
83th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
12.7
points

Score distribution

The chart shows the top 10 models on AIME 2025, with DeepSeek-Coder highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, DeepSeek-Coder sits at #105 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 12.7 points. The median model in this index scores 67.6, which puts DeepSeek-Coder above the midpoint.

DeepSeek models average 65.1 on this benchmark. DeepSeek-Coder is 13.6 points above that provider line, so it is a stronger result than the average DeepSeek model.

Among coding models, the average is 62.3. DeepSeek-Coder is 16.4 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 78.7 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nova Pro Pro Amazon 200000 $13.03 79.5
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
Nova Pro Amazon 32768 $12.75 79.4
QwQ Alibaba Cloud 128000 $4.57 78.6
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
DeepSeek-R1 Chat DeepSeek 400000 $5.62 82.4
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
LiveCodeBench 68.2 223 63th
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 AIME 2025?

DeepSeek-Coder scores 78.7 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does DeepSeek-Coder rank on AIME 2025?

It ranks #105 of 600 models, in the 83rd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is DeepSeek-Coder good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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.

Related