Safety · OpenAI

GPT-4.1 Vision on TruthfulQA: score, rank and what it means

GPT-4.1 Vision scores 84.4 on TruthfulQA, placing it #76 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
84.4
0–100 scale
Rank
#76
of 600
Percentile
87th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
6.7
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with GPT-4.1 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-4.1 Vision sits at #76 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 6.7 points. The median model in this index scores 76.3, which puts GPT-4.1 Vision above the midpoint.

OpenAI models average 85.0 on this benchmark. GPT-4.1 Vision is 0.6 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 80.1. GPT-4.1 Vision is 4.3 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 84.4 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 $14.88 per million input tokens, GPT-4.1 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
o3 OpenAI 400000 $16.80 84.5
DeepSeek-V3.2 DeepSeek 1000000 $5.88 84.0
Gemini 3 Pro Vision Google DeepMind 200000 $17.59 85.5
Doubao 1.5 Pro Max ByteDance 400000 $14.93 81.2
GPT-4.1 Vision OpenAI 1000000 $14.88 82.0
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
DeepSeek-V3.2 Instruct DeepSeek 128000 $5.91 83.7

Other benchmarks for GPT-4.1 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.0 82 86th
GPQA Diamond 79.3 68 89th
SWE-bench Verified 72.4 70 88th
HumanEval 86.8 92 85th
MATH-500 87.5 71 88th
AIME 2025 77.2 128 79th
LiveCodeBench 74.3 102 83th
IFEval 88.7 89 85th
HellaSwag 89.7 93 85th
MMMU 77.5 106 82th
Arena Elo 1451.8 69 89th

FAQ

What score does GPT-4.1 Vision get on TruthfulQA?

GPT-4.1 Vision scores 84.4 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does GPT-4.1 Vision rank on TruthfulQA?

It ranks #76 of 600 models, in the 87th percentile. The leader is GPT-5.1 Max at 91.1.

Is GPT-4.1 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-4.1 Vision cost?

GPT-4.1 Vision costs $14.88 per million input tokens and $81.24 per million output tokens.

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