Mathematics · DeepSeek

DeepSeek-Coder 7B on AIME 2025: score, rank and what it means

DeepSeek-Coder 7B scores 43.8 on AIME 2025, placing it #511 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
43.8
0–100 scale
Rank
#511
of 600
Percentile
15th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
47.6
points

Score distribution

The chart shows the top 10 models on AIME 2025, with DeepSeek-Coder 7B 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 7B sits at #511 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 47.6 points. The median model in this index scores 67.6, which puts DeepSeek-Coder 7B below the midpoint.

DeepSeek models average 65.1 on this benchmark. DeepSeek-Coder 7B is 21.3 points below that provider line, so it is a weaker result than the average DeepSeek model.

Among coding models, the average is 62.3. DeepSeek-Coder 7B is 18.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 43.8 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 $1.14 per million input tokens, DeepSeek-Coder 7B is below 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
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
Embed 4 Mini Cohere 4096 $2.48 55.8
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Pythia Base EleutherAI 16384 $0.99 55.9
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Yi-Large 8B 01.AI 32768 $0.88 56.1

Other benchmarks for DeepSeek-Coder 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 61.7 506 16th
GPQA Diamond 54.1 478 20th
SWE-bench Verified 43.6 483 20th
HumanEval 62.0 468 22th
MATH-500 56.9 498 17th
LiveCodeBench 48.3 462 23th
IFEval 70.1 459 24th
TruthfulQA 63.8 471 22th
HellaSwag 73.2 474 21th
MMMU 53.2 517 14th
Arena Elo 1260.7 473 21th

FAQ

What score does DeepSeek-Coder 7B get on AIME 2025?

DeepSeek-Coder 7B scores 43.8 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does DeepSeek-Coder 7B rank on AIME 2025?

It ranks #511 of 600 models, in the 15th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is DeepSeek-Coder 7B good at AIME 2025?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 7B cost?

DeepSeek-Coder 7B costs $1.14 per million input tokens and $4.37 per million output tokens.

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