Compare Models

Select models (max 7)
Claude Sonnet 5GPT-5.6 Terra
Benchmarks

Legal Research Bench *

Claude Sonnet 5
0.00%± 3.43
(94/94)
GPT-5.6 Terra
0.00%± 3.42
(94/94)

Tax Agent Bench *

Claude Sonnet 5
0.00%± 3.25
(85/85)
GPT-5.6 Terra
0.00%± 3.31
(85/85)

MedCode *

Claude Sonnet 5
0.00%± 2.27
(107/107)
GPT-5.6 Terra
0.00%± 2.17
(107/107)

Terminal-Bench-Science

Claude Sonnet 5
0.00%± 2.79
(45/45)
GPT-5.6 Terra
0.00%± 3.61
(45/45)

Terminal-Bench 4.0

Claude Sonnet 5
0.00%± 1.51
(64/64)
GPT-5.6 Terra
0.00%± 2.31
(64/64)

Vibe Code Bench v1.1 *

Claude Sonnet 5
0.00%± 3.05
(128/128)
GPT-5.6 Terra
0.00%± 4.20
(128/128)

Overall performance

Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, legal, and tax

2026-11-11

Comparison by Industry

Model performance on different sections of the economy.

Legal
62.87%
63.23%
Finance
58.35%
57.84%
Healthcare
61.80%
63.14%
Math
77.00%
74.00%
Science
5.71%
10.00%
Academic
86.48%
88.01%
Education
N/A
87.04%
Coding
49.35%
60.81%
Cyber
31.14%
40.81%
Social Mobility
66.03%
66.68%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
N/A
Input Cost/ 1M Tokens
$2.00
$2.00
Input Cache Write/ 1M Tokens
$2.50
$2.50
Input Cache Read/ 1M Tokens
$0.20
$0.20
Output Cost/ 1M Tokens
$10.00
$12.00

Model Metadata

Basic information about each model.

Model provider
AnthropicAnthropic
OpenAIOpenAI
LatencyN/AN/A
Cost (In/Out)$2 / $10$2 / $12
Context Window1M1M
Max Output Token128k128k
Input Modality