Safety · Google DeepMind

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

Gemini 3 Pro Mini scores 80.0 on TruthfulQA, placing it #177 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
80.0
0–100 scale
Rank
#177
of 600
Percentile
71th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
11.1
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Gemini 3 Pro Mini 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 Mini sits at #177 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 11.1 points. The median model in this index scores 76.3, which puts Gemini 3 Pro Mini above the midpoint.

Google DeepMind models average 80.7 on this benchmark. Gemini 3 Pro Mini is 0.7 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among multimodal models, the average is 80.1. Gemini 3 Pro Mini is 0.1 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 80.0 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 $12.27 per million input tokens, Gemini 3 Pro Mini 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
Mistral Large 3 Chat Mistral AI 1000000 $4.90 79.1
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Llama 3.3 Groq Groq 32768 $3.98 76.8
Nemotron 4 NVIDIA 65536 $4.18 76.6
Gemini 3 Pro Mini Google DeepMind 128000 $12.27 78.1
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4
Codestral Mistral AI 65536 $4.19 77.6

Other benchmarks for Gemini 3 Pro Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.4 199 67th
GPQA Diamond 72.1 217 64th
SWE-bench Verified 68.0 146 76th
HumanEval 83.5 143 76th
MATH-500 81.3 182 70th
AIME 2025 77.5 121 80th
LiveCodeBench 70.8 175 71th
IFEval 86.2 149 75th
HellaSwag 85.8 222 63th
MMMU 74.5 169 72th
Arena Elo 1419.9 149 75th

FAQ

What score does Gemini 3 Pro Mini get on TruthfulQA?

Gemini 3 Pro Mini scores 80.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Gemini 3 Pro Mini rank on TruthfulQA?

It ranks #177 of 600 models, in the 71st percentile. The leader is GPT-5.1 Max at 91.1.

Is Gemini 3 Pro Mini 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 Mini cost?

Gemini 3 Pro Mini costs $12.27 per million input tokens and $57.81 per million output tokens.

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