Coding · Google DeepMind

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

Gemini 3 Flash Mini scores 80.1 on HumanEval, placing it #229 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
80.1
0–100 scale
Rank
#229
of 600
Percentile
62th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
16.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Gemini 3 Flash Mini 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 Mini sits at #229 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 16.7 points. The median model in this index scores 77.4, which puts Gemini 3 Flash Mini above the midpoint.

Google DeepMind models average 82.4 on this benchmark. Gemini 3 Flash Mini is 2.3 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among multimodal models, the average is 82.2. Gemini 3 Flash Mini is 2.1 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 80.1 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 $10.71 per million input tokens, Gemini 3 Flash Mini 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
Nova Lite Reasoning Amazon 32768 $9.92 74.3
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
Nova Lite Max Amazon 200000 $9.79 73.4
Seed-OSS Instruct ByteDance 128000 $3.79 76.0
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3.1 Turbo Together AI 200000 $4.17 76.8
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7

Other benchmarks for Gemini 3 Flash Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 216 64th
GPQA Diamond 73.8 174 71th
SWE-bench Verified 61.4 292 51th
MATH-500 78.9 237 61th
AIME 2025 74.3 169 72th
LiveCodeBench 69.1 206 66th
IFEval 83.6 222 63th
TruthfulQA 79.8 186 69th
HellaSwag 84.1 275 54th
MMMU 72.6 229 62th
Arena Elo 1406.3 191 68th

FAQ

What score does Gemini 3 Flash Mini get on HumanEval?

Gemini 3 Flash Mini scores 80.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Gemini 3 Flash Mini rank on HumanEval?

It ranks #229 of 600 models, in the 62nd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Gemini 3 Flash Mini 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 Mini cost?

Gemini 3 Flash Mini costs $10.71 per million input tokens and $48.11 per million output tokens.

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