Safety · OpenAI

GPT-5.2 Vision on TruthfulQA: score, rank and what it means

GPT-5.2 Vision scores 85.3 on TruthfulQA, placing it #63 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
85.3
0–100 scale
Rank
#63
of 600
Percentile
90th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
5.8
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with GPT-5.2 Vision 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, GPT-5.2 Vision sits at #63 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 5.8 points. The median model in this index scores 76.3, which puts GPT-5.2 Vision above the midpoint.

OpenAI models average 85.0 on this benchmark. GPT-5.2 Vision is 0.3 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 86.9. GPT-5.2 Vision is 1.6 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 85.3 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 $19.03 per million input tokens, GPT-5.2 Vision 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
Gemini 3 Flash Vision Google DeepMind 400000 $15.06 81.9
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
GPT-4.1 Max OpenAI 400000 $17.34 84.7
Grok 3 xAI 128000 $15.84 82.8
GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
o4 Vision OpenAI 200000 $17.01 84.5
o4 OpenAI 2000000 $17.74 85.4

Other benchmarks for GPT-5.2 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 89.5 9 99th
GPQA Diamond 82.1 28 95th
SWE-bench Verified 78.8 11 98th
HumanEval 91.2 31 95th
MATH-500 92.9 12 98th
AIME 2025 85.7 28 95th
LiveCodeBench 83.4 11 98th
IFEval 93.9 12 98th
HellaSwag 94.6 7 99th
MMMU 84.4 10 98th
Arena Elo 1484.3 18 97th

FAQ

What score does GPT-5.2 Vision get on TruthfulQA?

GPT-5.2 Vision scores 85.3 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does GPT-5.2 Vision rank on TruthfulQA?

It ranks #63 of 600 models, in the 90th percentile. The leader is GPT-5.1 Max at 91.1.

Is GPT-5.2 Vision 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 GPT-5.2 Vision cost?

GPT-5.2 Vision costs $19.03 per million input tokens and $85.72 per million output tokens.

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