Coding · Google DeepMind

Gemini 3 Pro Max on HumanEval: score, rank and what it means

Gemini 3 Pro Max scores 91.9 on HumanEval, placing it #24 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
91.9
0–100 scale
Rank
#24
of 600
Percentile
96th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
4.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with Gemini 3 Pro Max 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 3 Pro Max sits at #24 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 4.9 points. The median model in this index scores 77.4, which puts Gemini 3 Pro Max above the midpoint.

Google DeepMind models average 82.4 on this benchmark. Gemini 3 Pro Max is 9.5 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among frontier models, the average is 90.8. Gemini 3 Pro Max is 1.1 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 91.9 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 $20.57 per million input tokens, Gemini 3 Pro Max 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
Qwen3-Max Pro Alibaba Cloud 400000 $18.87 86.2
o4 Pro OpenAI 1000000 $19.37 87.3
Grok 4 xAI 200000 $17.90 86.5
GPT-4.1 Pro OpenAI 400000 $17.56 85.2
Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
Grok 3 Max xAI 2000000 $17.66 85.9
Gemini 3 Pro Google DeepMind 2000000 $18.24 86.1

Other benchmarks for Gemini 3 Pro Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 89.5 10 98th
GPQA Diamond 81.8 33 95th
SWE-bench Verified 76.6 24 96th
MATH-500 92.1 19 97th
AIME 2025 89.6 8 99th
LiveCodeBench 83.6 10 98th
IFEval 94.7 7 99th
TruthfulQA 89.6 6 99th
HellaSwag 92.6 31 95th
MMMU 84.4 11 98th
Arena Elo 1477.5 24 96th

FAQ

What score does Gemini 3 Pro Max get on HumanEval?

Gemini 3 Pro Max scores 91.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Gemini 3 Pro Max rank on HumanEval?

It ranks #24 of 600 models, in the 96th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Gemini 3 Pro Max 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 3 Pro Max cost?

Gemini 3 Pro Max costs $20.57 per million input tokens and $112.92 per million output tokens.

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