Compare Models
Select models (max 5)
Claude Opus 5.5GPT-5.6 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 66.97%±0.89 | 58.01%±1.02 |
| Legal Research BenchAgentic US legal research | 50.48%±3.48 | 48.08%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 58.59%±0.17 | 53.76%±0.85 |
| Tax Agent BenchAgentic US corporate tax research | 70.50%±3.15 | 67.95%±3.12 |
| MedCodeMedical billing code support | 49.80%±2.27 | 43.97%±2.26 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 47.14%±6.01 | 20.00%±4.82 |
| Code MigrationRewriting programs in new languages | 66.65%±4.33 | 52.92%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 65.15%±0.00 | 37.88%±0.00 |
| Vibe Code Bench v1.1Building web apps from scratch | 90.29%±1.53 | 80.50%±3.72 |
Benchmarks
Vals Index *
Claude Opus 5.5
0.00%± 0.89
(43/43)GPT-5.6 Sol
0.00%± 1.02
(43/43)Legal Research Bench *
Claude Opus 5.5
0.00%± 3.48
(73/73)GPT-5.6 Sol
0.00%± 3.47
(73/73)Finance Agent (v2) *
Claude Opus 5.5
0.00%± 0.17
(74/74)GPT-5.6 Sol
0.00%± 0.85
(74/74)Tax Agent Bench *
Claude Opus 5.5
0.00%± 3.15
(65/65)GPT-5.6 Sol
0.00%± 3.12
(65/65)MedCode *
Claude Opus 5.5
0.00%± 2.27
(104/104)GPT-5.6 Sol
0.00%± 2.26
(104/104)Terminal-Bench Science
Claude Opus 5.5
0.00%± 6.01
(38/38)GPT-5.6 Sol
0.00%± 4.82
(38/38)Code Migration *
Claude Opus 5.5
0.00%± 4.33
(73/73)GPT-5.6 Sol
0.00%± 4.35
(73/73)Terminal-Bench 4.0
Claude Opus 5.5
0.00%± 0.00
(43/43)GPT-5.6 Sol
0.00%± 0.00
(43/43)Vibe Code Bench v1.1 *
Claude Opus 5.5
0.00%± 1.53
(108/108)GPT-5.6 Sol
0.00%± 3.72
(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%
vs.45.85%
Finance
68.34%
vs.67.22%
Healthcare
70.61%
vs.64.60%
Math
100.00%
vs.83.00%
Science
58.65%
vs.41.48%
Academic
N/A
vs.91.05%
Education
45.83%
vs.52.56%
Coding
61.00%
vs.57.43%
Cyber
44.47%
vs.53.42%
Social Mobility
70.64%
vs.66.51%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$32.14
$14.24
Cost / TestVals Index
$32.14
vs.$14.24
Input Cost/ 1M Tokens
$4.00
vs.$4.00
Input Cache Write/ 1M Tokens
$5.00
vs.$5.00
Input Cache Read/ 1M Tokens
$0.40
vs.$0.40
Output Cost/ 1M Tokens
$20.00
vs.$20.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | 4710.68s | 2242.72s |
| Cost (In/Out) | $4 / $20 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |