Safety · Google DeepMind

Gemini 3 Pro Nano on TruthfulQA: score, rank and what it means

Gemini 3 Pro Nano scores 77.0 on TruthfulQA, placing it #281 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
77.0
0–100 scale
Rank
#281
of 600
Percentile
53th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
14.1
points

Score distribution

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

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Gemini 3 Pro Nano sits at #281 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 14.1 points. The median model in this index scores 76.3, which puts Gemini 3 Pro Nano above the midpoint.

Google DeepMind models average 80.7 on this benchmark. Gemini 3 Pro Nano is 3.7 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among mid-range models, the average is 71.6. Gemini 3 Pro Nano is 5.4 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 77.0 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 $9.11 per million input tokens, Gemini 3 Pro Nano is above the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nova Lite Amazon 65536 $9.20 73.4
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
Seed-OSS ByteDance 32768 $3.74 75.3
ERNIE 4.0 Baidu 32768 $11.37 76.7
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7

Other benchmarks for Gemini 3 Pro Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.8 357 41th
GPQA Diamond 69.4 282 53th
SWE-bench Verified 61.2 296 51th
HumanEval 77.7 293 51th
MATH-500 78.3 251 58th
AIME 2025 64.6 344 43th
LiveCodeBench 66.6 260 57th
IFEval 82.6 258 57th
HellaSwag 81.9 350 42th
MMMU 71.8 250 58th
Arena Elo 1367.4 326 46th

FAQ

What score does Gemini 3 Pro Nano get on TruthfulQA?

Gemini 3 Pro Nano scores 77.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Gemini 3 Pro Nano rank on TruthfulQA?

It ranks #281 of 600 models, in the 53rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Gemini 3 Pro Nano good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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 Nano cost?

Gemini 3 Pro Nano costs $9.11 per million input tokens and $48.26 per million output tokens.

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