Coding · Google DeepMind

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

Gemini 3 Flash Pro scores 89.9 on HumanEval, placing it #47 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
89.9
0–100 scale
Rank
#47
of 600
Percentile
92th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
6.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with Gemini 3 Flash Pro 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 Flash Pro sits at #47 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 6.9 points. The median model in this index scores 77.4, which puts Gemini 3 Flash Pro above the midpoint.

Google DeepMind models average 82.4 on this benchmark. Gemini 3 Flash Pro is 7.5 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 Flash Pro is 0.9 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 89.9 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 $17.71 per million input tokens, Gemini 3 Flash Pro 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
Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
o4 Reasoning OpenAI 1000000 $19.69 87.5
Claude 3.7 Sonnet Pro Anthropic 128000 $16.07 83.3
Gemini 3 Flash Pro Google DeepMind 400000 $17.71 84.8
Grok 3 Pro xAI 400000 $16.61 83.8
Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

Other benchmarks for Gemini 3 Flash Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 87.0 35 94th
GPQA Diamond 77.7 93 85th
SWE-bench Verified 73.3 61 90th
MATH-500 91.8 26 96th
AIME 2025 79.9 90 85th
LiveCodeBench 80.2 42 93th
IFEval 92.8 22 96th
TruthfulQA 86.2 48 92th
HellaSwag 90.6 74 88th
MMMU 83.0 22 96th
Arena Elo 1469.2 35 94th

FAQ

What score does Gemini 3 Flash Pro get on HumanEval?

Gemini 3 Flash Pro scores 89.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Gemini 3 Flash Pro rank on HumanEval?

It ranks #47 of 600 models, in the 92nd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Gemini 3 Flash Pro 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 Flash Pro cost?

Gemini 3 Flash Pro costs $17.71 per million input tokens and $86.50 per million output tokens.

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