Compare Models

Select models (max 5)
Claude Opus 5.5GPT-6 Sol
Benchmarks

Vals Index *

Claude Opus 5.5
0.00%± 0.89
(43/43)
GPT-6 Sol
0.00%± 1.01
(43/43)

Legal Research Bench *

Claude Opus 5.5
0.00%± 3.48
(73/73)
GPT-6 Sol
0.00%± 3.15
(73/73)

Finance Agent (v2) *

Claude Opus 5.5
0.00%± 0.17
(74/74)
GPT-6 Sol
0.00%± 0.58
(74/74)

Tax Agent Bench *

Claude Opus 5.5
0.00%± 3.15
(65/65)
GPT-6 Sol
0.00%± 3.29
(65/65)

MedCode *

Claude Opus 5.5
0.00%± 2.27
(104/104)
GPT-6 Sol
0.00%± 2.12
(104/104)

Terminal-Bench Science

Claude Opus 5.5
0.00%± 6.01
(38/38)
GPT-6 Sol
0.00%± 5.52
(38/38)

Code Migration *

Claude Opus 5.5
0.00%± 4.33
(73/73)
GPT-6 Sol
0.00%± 4.21
(73/73)

Terminal-Bench 4.0

Claude Opus 5.5
0.00%± 0.00
(43/43)
GPT-6 Sol
0.00%± 3.54
(43/43)

Vibe Code Bench v1.1 *

Claude Opus 5.5
0.00%± 1.53
(108/108)
GPT-6 Sol
0.00%± 2.53
(108/108)

Overall performance

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

2026-10-02

Comparison by Industry

Model performance on different sections of the economy.

Legal
27.12%
15.26%
Finance
68.34%
57.88%
Healthcare
70.61%
64.55%
Math
100.00%
83.00%
Science
58.65%
45.00%
Education
45.83%
44.79%
Coding
61.00%
54.81%
Cyber
44.47%
77.98%
Social Mobility
70.64%
56.63%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$32.14
$7.581
Cost / TestVals Index
$32.14
$7.581
Input Cost/ 1M Tokens
$4.00
$2.00
Input Cache Write/ 1M Tokens
$5.00
$2.50
Input Cache Read/ 1M Tokens
$0.40
$0.20
Output Cost/ 1M Tokens
$20.00
$10.00

Model Metadata

Basic information about each model.

Model provider
AnthropicAnthropic
OpenAIOpenAI
Latency4710.68s1750.68s
Cost (In/Out)$4 / $20$2 / $10
Context Window1M1M
Max Output Token128k128k
Input Modality