Compare Models
Select models (max 5)
Claude Sonnet 5.5GPT-5.6 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 69.22%±0.96 | 63.71%±1.06 |
| Legal Research BenchAgentic US legal research | 48.08%±3.47 | 48.08%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 58.10%±0.67 | 53.76%±0.85 |
| Tax Agent BenchAgentic US corporate tax research | 73.39%±2.98 | 67.95%±3.12 |
| MedCodeMedical billing code support | 52.92%±2.12 | 43.97%±2.26 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 38.57%±5.86 | 12.86%±4.03 |
| Code MigrationRewriting programs in new languages | 69.83%±4.26 | 52.92%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 53.03%±1.51 | 27.78%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 92.39%±1.26 | 80.50%±3.72 |
Benchmarks
Vals Index *
Claude Sonnet 5.5
0.00%± 0.96
(66/66)GPT-5.6 Sol
0.00%± 1.06
(66/66)Legal Research Bench *
Claude Sonnet 5.5
0.00%± 3.47
(69/69)GPT-5.6 Sol
0.00%± 3.47
(69/69)Finance Agent (v2) *
Claude Sonnet 5.5
0.00%± 0.67
(70/70)GPT-5.6 Sol
0.00%± 0.85
(70/70)Tax Agent Bench *
Claude Sonnet 5.5
0.00%± 2.98
(61/61)GPT-5.6 Sol
0.00%± 3.12
(61/61)MedCode *
Claude Sonnet 5.5
0.00%± 2.12
(102/102)GPT-5.6 Sol
0.00%± 2.26
(102/102)Terminal-Bench Science
Claude Sonnet 5.5
0.00%± 5.86
(33/33)GPT-5.6 Sol
0.00%± 4.03
(33/33)Code Migration *
Claude Sonnet 5.5
0.00%± 4.26
(69/69)GPT-5.6 Sol
0.00%± 4.35
(69/69)Terminal-Bench 4.0
Claude Sonnet 5.5
0.00%± 1.51
(37/37)GPT-5.6 Sol
0.00%± 1.82
(37/37)Vibe Code Bench v1.1 *
Claude Sonnet 5.5
0.00%± 1.26
(104/104)GPT-5.6 Sol
0.00%± 3.72
(104/104)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-09-27
Comparison by Industry
Model performance on different sections of the economy.
Vals Index
69.22%
vs.43.79%
Legal
25.50%
vs.45.85%
Finance
69.07%
vs.67.22%
Healthcare
72.01%
vs.64.60%
Math
100.00%
vs.83.00%
Science
56.26%
vs.39.10%
Academic
N/A
vs.91.05%
Education
51.77%
vs.52.56%
Coding
74.58%
vs.56.31%
Beta
44.87%
vs.34.75%
Social Mobility
67.19%
vs.66.51%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$20.80
$14.21
Cost / TestVals Index
$20.80
vs.$14.21
Input Cost/ 1M Tokens
$2.00
vs.$4.00
Input Cache Write/ 1M Tokens
$2.50
vs.$5.00
Input Cache Read/ 1M Tokens
$0.20
vs.$0.40
Output Cost/ 1M Tokens
$10.00
vs.$20.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | 4207.12s | 1943.91s |
| Cost (In/Out) | $2 / $10 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |