Claude 3.7 Sonnet Vision on TruthfulQA: score, rank and what it means
Claude 3.7 Sonnet Vision scores 81.6 on TruthfulQA, placing it #136 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.
Score distribution
The chart shows the top 10 models on TruthfulQA, with Claude 3.7 Sonnet Vision highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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, Claude 3.7 Sonnet Vision sits at #136 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 9.5 points. The median model in this index scores 76.3, which puts Claude 3.7 Sonnet Vision above the midpoint.
Anthropic models average 82.9 on this benchmark. Claude 3.7 Sonnet Vision is 1.3 points below that provider line, so it is a weaker result than the average Anthropic model.
Among multimodal models, the average is 80.1. Claude 3.7 Sonnet Vision is 1.5 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 81.6 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 $13.96 per million input tokens, Claude 3.7 Sonnet 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GPT-4.1 | OpenAI | 1000000 | $15.71 | 82.4 |
| Claude 3.7 Sonnet | Anthropic | 200000 | $14.91 | 81.6 |
| Nova Pro Pro | Amazon | 200000 | $13.03 | 79.5 |
| Reka Core Turbo | Reka AI | 32768 | $12.58 | 78.4 |
| Claude 3.7 Sonnet Vision | Anthropic | 400000 | $13.96 | 81.0 |
| Doubao 1.5 Pro | ByteDance | 200000 | $13.65 | 79.7 |
| ERNIE 4.0 Max | Baidu | 32768 | $12.40 | 78.9 |
Other benchmarks for Claude 3.7 Sonnet Vision
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 82.5 | 113 | 81th | |
| GPQA Diamond | 77.3 | 100 | 83th | |
| SWE-bench Verified | 72.2 | 72 | 88th | |
| HumanEval | 85.4 | 106 | 82th | |
| MATH-500 | 84.8 | 111 | 82th | |
| AIME 2025 | 80.9 | 76 | 87th | |
| LiveCodeBench | 75.7 | 85 | 86th | |
| IFEval | 87.9 | 103 | 83th | |
| HellaSwag | 89.4 | 100 | 83th | |
| MMMU | 73.8 | 196 | 67th | |
| Arena Elo | 1429.6 | 121 | 80th |
FAQ
What score does Claude 3.7 Sonnet Vision get on TruthfulQA?
Claude 3.7 Sonnet Vision scores 81.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.
How does Claude 3.7 Sonnet Vision rank on TruthfulQA?
It ranks #136 of 600 models, in the 77th percentile. The leader is GPT-5.1 Max at 91.1.
Is Claude 3.7 Sonnet 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 Claude 3.7 Sonnet Vision cost?
Claude 3.7 Sonnet Vision costs $13.96 per million input tokens and $56.28 per million output tokens.