Compare Models
Select models (max 5)
Claude Opus 4.7GPT 5.5
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 38.46%±3.38 | 40.38%±3.41 |
| Finance Agent (v2)Core financial analyst tasks | 51.51%±0.49 | 51.76%±0.55 |
| Tax Agent BenchAgentic US corporate tax research | 63.86%±3.14 | 60.46%±3.22 |
| MedCodeMedical billing code support | 54.86%±2.21 | 49.10%±2.19 |
| Code MigrationRewriting programs in new languages | 43.88%±4.22 | 45.16%±4.16 |
| Vibe Code Bench v1.1Building web apps from scratch | 71.00%±4.51 | 69.85%±4.54 |
Benchmarks
Legal Research Bench *
Claude Opus 4.7
0.00%± 3.38
(73/73)GPT 5.5
0.00%± 3.41
(73/73)Finance Agent (v2) *
Claude Opus 4.7
0.00%± 0.49
(74/74)GPT 5.5
0.00%± 0.55
(74/74)Tax Agent Bench *
Claude Opus 4.7
0.00%± 3.14
(65/65)GPT 5.5
0.00%± 3.22
(65/65)MedCode *
Claude Opus 4.7
0.00%± 2.21
(104/104)GPT 5.5
0.00%± 2.19
(104/104)Code Migration *
Claude Opus 4.7
0.00%± 4.22
(73/73)GPT 5.5
0.00%± 4.16
(73/73)Vibe Code Bench v1.1 *
Claude Opus 4.7
0.00%± 4.51
(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
43.46%
vs.43.55%
Finance
64.93%
vs.64.10%
Healthcare
68.91%
vs.67.98%
Academic
88.52%
vs.89.86%
Education
56.10%
vs.51.53%
Coding
56.39%
vs.57.60%
Cyber
N/A
vs.3.82%
Social Mobility
N/A
vs.60.89%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
Input Cost/ 1M Tokens
$5.00
vs.$5.00
Input Cache Write/ 1M Tokens
$6.25
vs.N/A
Input Cache Read/ 1M Tokens
$0.50
vs.$0.50
Output Cost/ 1M Tokens
$25.00
vs.$30.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | N/A | N/A |
| Cost (In/Out) | $5 / $25 | $5 / $30 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |