Coding · Google DeepMind

Gemini 2.5 Pro Vision on HumanEval: score, rank and what it means

Gemini 2.5 Pro Vision scores 85.8 on HumanEval, placing it #102 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
85.8
0–100 scale
Rank
#102
of 600
Percentile
83th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
11.0
points

Score distribution

The chart shows the top 10 models on HumanEval, with Gemini 2.5 Pro Vision 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, Gemini 2.5 Pro Vision sits at #102 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 11.0 points. The median model in this index scores 77.4, which puts Gemini 2.5 Pro Vision above the midpoint.

Google DeepMind models average 82.4 on this benchmark. Gemini 2.5 Pro Vision is 3.4 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among multimodal models, the average is 82.2. Gemini 2.5 Pro Vision is 3.6 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 85.8 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 $14.91 per million input tokens, Gemini 2.5 Pro Vision 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
ERNIE 4.5 Turbo Baidu 128000 $13.75 79.7
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6
Claude Haiku 4.5 Pro Anthropic 1000000 $15.07 80.8
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0
Claude 3.7 Sonnet Anthropic 200000 $14.91 81.6
o3 Vision OpenAI 1000000 $15.24 81.8

Other benchmarks for Gemini 2.5 Pro Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.9 84 86th
GPQA Diamond 78.0 86 86th
SWE-bench Verified 72.4 71 88th
MATH-500 82.9 147 76th
AIME 2025 80.0 88 85th
LiveCodeBench 76.0 83 86th
IFEval 90.2 66 89th
TruthfulQA 84.1 82 86th
HellaSwag 90.8 66 89th
MMMU 78.2 91 85th
Arena Elo 1451.3 70 88th

FAQ

What score does Gemini 2.5 Pro Vision get on HumanEval?

Gemini 2.5 Pro Vision scores 85.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Gemini 2.5 Pro Vision rank on HumanEval?

It ranks #102 of 600 models, in the 83rd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Gemini 2.5 Pro Vision 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 Gemini 2.5 Pro Vision cost?

Gemini 2.5 Pro Vision costs $14.91 per million input tokens and $71.00 per million output tokens.

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