Mathematics · DeepSeek

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

DeepSeek-Coder Instruct scores 73.5 on AIME 2025, placing it #196 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
73.5
0–100 scale
Rank
#196
of 600
Percentile
67th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
17.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with DeepSeek-Coder Instruct 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 Instruct sits at #196 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 17.9 points. The median model in this index scores 67.6, which puts DeepSeek-Coder Instruct above the midpoint.

DeepSeek models average 65.1 on this benchmark. DeepSeek-Coder Instruct is 8.4 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 Instruct is 11.2 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 73.5 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 $4.34 per million input tokens, DeepSeek-Coder Instruct 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
Magistral Chat Mistral AI 128000 $4.33 76.8
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
MiniMax-Text Base MiniMax 128000 $3.66 74.9
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
Grok 4 Mini xAI 65536 $12.21 77.9
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6

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
HumanEval 81.6 192 68th
MATH-500 81.1 189 69th
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 AIME 2025?

DeepSeek-Coder Instruct scores 73.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does DeepSeek-Coder Instruct rank on AIME 2025?

It ranks #196 of 600 models, in the 67th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is DeepSeek-Coder Instruct 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 Instruct cost?

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

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