Compare Models
Select models (max 7)
Claude Sonnet 5GPT-6 Luna
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 52.32%±1.12 |
| Legal Research BenchAgentic US legal research | 41.83%±3.43 | 30.29%±3.19 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 56.84%±2.12 |
| Tax Agent BenchAgentic US corporate tax research | 29.37%±3.25 | 19.95%±2.87 |
| MedCodeMedical billing code support | 47.54%±2.27 | 44.69%±2.30 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 5.71%±2.79 | 4.29%±2.44 |
| Code Migration v1.1Rewriting programs in new languages | N/A | 46.67%±3.61 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 10.61%±1.51 | 13.64%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 81.33%±3.05 | 81.65%±3.38 |
Benchmarks
Vals Index *
Claude Sonnet 5
N/AGPT-6 Luna
0.00%± 1.12
(37/37)Legal Research Bench *
Claude Sonnet 5
0.00%± 3.43
(94/94)GPT-6 Luna
0.00%± 3.19
(94/94)Finance Agent v2.1 *
Claude Sonnet 5
N/AGPT-6 Luna
0.00%± 2.12
(40/40)Tax Agent Bench *
Claude Sonnet 5
0.00%± 3.25
(85/85)GPT-6 Luna
0.00%± 2.87
(85/85)MedCode *
Claude Sonnet 5
0.00%± 2.27
(107/107)GPT-6 Luna
0.00%± 2.30
(107/107)Terminal-Bench-Science
Claude Sonnet 5
0.00%± 2.79
(45/45)GPT-6 Luna
0.00%± 2.44
(45/45)Code Migration v1.1 *
Claude Sonnet 5
N/AGPT-6 Luna
0.00%± 3.61
(30/30)Terminal-Bench 4.0
Claude Sonnet 5
0.00%± 1.51
(64/64)GPT-6 Luna
0.00%± 1.51
(64/64)Vibe Code Bench v1.1 *
Claude Sonnet 5
0.00%± 3.05
(128/128)GPT-6 Luna
0.00%± 3.38
(128/128)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, legal, and tax
•2026-11-11
Comparison by Industry
Model performance on different sections of the economy.
Legal
62.87%
vs.32.33%
Finance
58.35%
vs.61.48%
Healthcare
61.80%
vs.64.20%
Math
77.00%
vs.64.00%
Science
5.71%
vs.28.38%
Academic
86.48%
vs.N/A
Education
N/A
vs.83.40%
Coding
49.35%
vs.39.25%
Cyber
31.14%
vs.39.46%
Social Mobility
66.03%
vs.61.44%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$0.45
Cost / TestVals Index
N/A
vs.$0.45
Input Cost/ 1M Tokens
$2.00
vs.$0.10
Input Cache Write/ 1M Tokens
$2.50
vs.$0.125
Input Cache Read/ 1M Tokens
$0.20
vs.$0.01
Output Cost/ 1M Tokens
$10.00
vs.$0.50
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | N/A | 1943.19s |
| Cost (In/Out) | $2 / $10 | $0.1 / $0.5 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |