Compare Models
Select models (max 5)
Claude Sonnet 5GPT-5.6 Terra
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 51.77%±1.09 | 53.09%±1.29 |
| Legal Research BenchAgentic US legal research | 41.83%±3.43 | 41.35%±3.42 |
| Finance Agent (v2)Core financial analyst tasks | 53.91%±0.52 | 54.44%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 62.27%±3.19 | 65.20%±3.19 |
| MedCodeMedical billing code support | 47.54%±2.27 | 43.41%±2.17 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 2.86%±2.01 | 10.00%±3.61 |
| Code MigrationRewriting programs in new languages | 44.39%±4.25 | 47.80%±4.28 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 9.60%±1.01 | 22.73%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 81.33%±3.05 | 74.59%±4.20 |
Benchmarks
Vals Index *
Claude Sonnet 5
0.00%± 1.09
(30/30)GPT-5.6 Terra
0.00%± 1.29
(30/30)Legal Research Bench *
Claude Sonnet 5
0.00%± 3.43
(71/71)GPT-5.6 Terra
0.00%± 3.42
(71/71)Finance Agent (v2) *
Claude Sonnet 5
0.00%± 0.52
(72/72)GPT-5.6 Terra
0.00%± 2.07
(72/72)Tax Agent Bench *
Claude Sonnet 5
0.00%± 3.19
(63/63)GPT-5.6 Terra
0.00%± 3.19
(63/63)MedCode *
Claude Sonnet 5
0.00%± 2.27
(103/103)GPT-5.6 Terra
0.00%± 2.17
(103/103)Terminal-Bench Science
Claude Sonnet 5
0.00%± 2.01
(33/33)GPT-5.6 Terra
0.00%± 3.61
(33/33)Code Migration *
Claude Sonnet 5
0.00%± 4.25
(70/70)GPT-5.6 Terra
0.00%± 4.28
(70/70)Terminal-Bench 4.0
Claude Sonnet 5
0.00%± 1.01
(31/31)GPT-5.6 Terra
0.00%± 2.31
(31/31)Vibe Code Bench v1.1 *
Claude Sonnet 5
0.00%± 3.05
(105/105)GPT-5.6 Terra
0.00%± 4.20
(105/105)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-09-29
Comparison by Industry
Model performance on different sections of the economy.
Legal
43.58%
vs.42.43%
Finance
65.63%
vs.65.87%
Healthcare
61.80%
vs.63.14%
Math
77.00%
vs.74.00%
Science
2.86%
vs.10.00%
Academic
86.48%
vs.88.01%
Education
48.92%
vs.47.00%
Coding
44.74%
vs.54.25%
Beta
61.91%
vs.72.08%
Social Mobility
66.03%
vs.62.38%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$13.72
$5.776
Cost / TestVals Index
$13.72
vs.$5.776
Input Cost/ 1M Tokens
$2.00
vs.$2.00
Input Cache Write/ 1M Tokens
$2.50
vs.$2.50
Input Cache Read/ 1M Tokens
$0.20
vs.$0.20
Output Cost/ 1M Tokens
$10.00
vs.$12.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | 3255.62s | 2138.85s |
| Cost (In/Out) | $2 / $10 | $2 / $12 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |