Coding · DeepSeek

DeepSeek-R1 Instruct on HumanEval: score, rank and what it means

DeepSeek-R1 Instruct scores 88.0 on HumanEval, placing it #72 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
88.0
0–100 scale
Rank
#72
of 600
Percentile
88th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
8.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with DeepSeek-R1 Instruct 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-R1 Instruct sits at #72 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 8.8 points. The median model in this index scores 77.4, which puts DeepSeek-R1 Instruct above the midpoint.

DeepSeek models average 75.7 on this benchmark. DeepSeek-R1 Instruct is 12.3 points above that provider line, so it is a stronger result than the average DeepSeek model.

Among frontier models, the average is 90.8. DeepSeek-R1 Instruct is 2.8 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 88.0 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 $5.90 per million input tokens, DeepSeek-R1 Instruct 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
GPT-4.1 OpenAI 1000000 $15.71 82.4
Claude Opus 4.5 Vision Anthropic 200000 $17.70 85.9
Gemini 2.5 Pro Turbo Google DeepMind 1000000 $16.32 83.9
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1
DeepSeek-R1 Instruct DeepSeek 1000000 $5.90 83.1
MiniMax-M2 MiniMax 200000 $5.19 80.6
DeepSeek-V3.2 Chat DeepSeek 1000000 $5.80 82.5

Other benchmarks for DeepSeek-R1 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.9 63 90th
GPQA Diamond 81.4 37 94th
SWE-bench Verified 72.4 69 89th
MATH-500 86.2 88 85th
AIME 2025 77.6 120 80th
LiveCodeBench 79.6 49 92th
IFEval 88.9 83 86th
TruthfulQA 82.2 127 79th
HellaSwag 91.1 59 90th
MMMU 81.5 37 94th
Arena Elo 1447.7 80 87th

FAQ

What score does DeepSeek-R1 Instruct get on HumanEval?

DeepSeek-R1 Instruct scores 88.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does DeepSeek-R1 Instruct rank on HumanEval?

It ranks #72 of 600 models, in the 88th percentile. The leader is GPT-5.2 Pro at 96.8.

Is DeepSeek-R1 Instruct 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-R1 Instruct cost?

DeepSeek-R1 Instruct costs $5.90 per million input tokens and $26.49 per million output tokens.

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