Compare Models
Select models (max 5)
Claude Sonnet 5GPT 5.5
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 51.77%±1.09 | N/A |
| Legal Research BenchAgentic US legal research | 41.83%±3.43 | 40.38%±3.41 |
| Finance Agent (v2)Core financial analyst tasks | 53.91%±0.52 | 51.76%±0.55 |
| Tax Agent BenchAgentic US corporate tax research | 62.27%±3.19 | 60.46%±3.22 |
| MedCodeMedical billing code support | 47.54%±2.27 | 49.10%±2.19 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 5.71%±2.79 | N/A |
| Code MigrationRewriting programs in new languages | 44.39%±4.25 | 45.16%±4.16 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 9.60%±1.01 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 81.33%±3.05 | 69.85%±4.54 |
Benchmarks
Vals Index *
Claude Sonnet 5
0.00%± 1.09
(43/43)GPT 5.5
N/ALegal Research Bench *
Claude Sonnet 5
0.00%± 3.43
(73/73)GPT 5.5
0.00%± 3.41
(73/73)Finance Agent (v2) *
Claude Sonnet 5
0.00%± 0.52
(74/74)GPT 5.5
0.00%± 0.55
(74/74)Tax Agent Bench *
Claude Sonnet 5
0.00%± 3.19
(65/65)GPT 5.5
0.00%± 3.22
(65/65)MedCode *
Claude Sonnet 5
0.00%± 2.27
(104/104)GPT 5.5
0.00%± 2.19
(104/104)Terminal-Bench Science
Claude Sonnet 5
0.00%± 2.79
(38/38)GPT 5.5
N/ACode Migration *
Claude Sonnet 5
0.00%± 4.25
(73/73)GPT 5.5
0.00%± 4.16
(73/73)Terminal-Bench 4.0
Claude Sonnet 5
0.00%± 1.01
(43/43)GPT 5.5
N/AVibe Code Bench v1.1 *
Claude Sonnet 5
0.00%± 3.05
(108/108)GPT 5.5
0.00%± 4.54
(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
43.58%
vs.43.55%
Finance
65.63%
vs.64.10%
Healthcare
61.80%
vs.67.98%
Math
77.00%
vs.N/A
Science
5.71%
vs.N/A
Academic
86.48%
vs.89.86%
Education
48.92%
vs.51.53%
Coding
44.74%
vs.57.60%
Cyber
61.91%
vs.3.82%
Social Mobility
66.03%
vs.60.89%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$13.72
N/A
Cost / TestVals Index
$13.72
vs.N/A
Input Cost/ 1M Tokens
$2.00
vs.$5.00
Input Cache Write/ 1M Tokens
$2.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.20
vs.$0.50
Output Cost/ 1M Tokens
$10.00
vs.$30.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | 3255.62s | N/A |
| Cost (In/Out) | $2 / $10 | $5 / $30 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |