Commonsense · Google DeepMind

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

Gemini 3 Flash Pro scores 90.6 on HellaSwag, placing it #74 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
90.6
0–100 scale
Rank
#74
of 600
Percentile
88th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
5.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Gemini 3 Flash Pro highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Gemini 3 Flash Pro sits at #74 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 5.5 points. The median model in this index scores 83.6, which puts Gemini 3 Flash Pro above the midpoint.

Google DeepMind models average 86.9 on this benchmark. Gemini 3 Flash Pro is 3.7 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among frontier models, the average is 92.3. Gemini 3 Flash Pro is 1.7 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 90.6 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Grok 3 Pro xAI 400000 $16.61 83.8
DeepSeek-R1 Chat DeepSeek 400000 $5.62 82.4
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Gemini 2.5 Pro Pro Google DeepMind 400000 $17.16 83.6
Gemini 3 Flash Pro Google DeepMind 400000 $17.71 84.8
Claude 3.7 Sonnet Reasoning Anthropic 128000 $16.30 83.7
MiniMax-M2 MiniMax 200000 $5.19 80.6

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
HumanEval 89.9 47 92th
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
MMMU 83.0 22 96th
Arena Elo 1469.2 35 94th

FAQ

What score does Gemini 3 Flash Pro get on HellaSwag?

Gemini 3 Flash Pro scores 90.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Gemini 3 Flash Pro rank on HellaSwag?

It ranks #74 of 600 models, in the 88th percentile. The leader is GPT-5.2 Max at 96.1.

Is Gemini 3 Flash Pro good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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