Coding · Google DeepMind

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

Gemini 3 Flash Nano scores 73.0 on HumanEval, placing it #372 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
73.0
0–100 scale
Rank
#372
of 600
Percentile
38th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
23.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Gemini 3 Flash Nano 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 Nano sits at #372 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 23.8 points. The median model in this index scores 77.4, which puts Gemini 3 Flash Nano below the midpoint.

Google DeepMind models average 82.4 on this benchmark. Gemini 3 Flash Nano is 9.4 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among mid-range models, the average is 71.5. Gemini 3 Flash Nano is 1.5 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 73.0 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 $7.56 per million input tokens, Gemini 3 Flash Nano 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
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Yi-Large Base 01.AI 16384 $2.78 70.3
Arctic Snowflake 8192 $2.72 68.8
Phi-3.5 Base Microsoft 65536 $2.24 66.6
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4
Firesearch Max Fireworks AI 8192 $7.80 69.9
Mixtral Turbo Base Together AI 32768 $2.53 69.7

Other benchmarks for Gemini 3 Flash Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.4 386 36th
GPQA Diamond 62.9 384 36th
SWE-bench Verified 55.7 379 37th
MATH-500 75.0 323 46th
AIME 2025 62.9 365 39th
LiveCodeBench 60.3 364 39th
IFEval 77.5 371 38th
TruthfulQA 72.0 379 37th
HellaSwag 83.4 308 49th
MMMU 69.5 316 47th
Arena Elo 1348.8 367 39th

FAQ

What score does Gemini 3 Flash Nano get on HumanEval?

Gemini 3 Flash Nano scores 73.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Gemini 3 Flash Nano rank on HumanEval?

It ranks #372 of 600 models, in the 38th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Gemini 3 Flash Nano good at HumanEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Nano cost?

Gemini 3 Flash Nano costs $7.56 per million input tokens and $41.55 per million output tokens.

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