Compare Models
Select models (max 7)
GPT-5.6 LunaHy4 Preview
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 53.21%±1.13 |
| Legal Research BenchAgentic US legal research | 36.54%±3.35 | 45.19%±3.46 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 61.62%±2.06 |
| Tax Agent BenchAgentic US corporate tax research | 24.82%±3.11 | 32.62%±3.38 |
| MedCodeMedical billing code support | 42.39%±2.27 | 43.25%±2.13 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 0.00%±0.00 | 1.43%±1.43 |
| Code Migration v1.1Rewriting programs in new languages | N/A | 45.36%±3.59 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 11.62%±1.01 | 8.08%±1.34 |
| Vibe Code Bench v1.1Building web apps from scratch | 77.06%±3.07 | 77.48%±4.04 |
Benchmarks
Vals Index *
GPT-5.6 Luna
N/AHy4 Preview
0.00%± 1.13
(26/26)Legal Research Bench *
GPT-5.6 Luna
0.00%± 3.35
(84/84)Hy4 Preview
0.00%± 3.46
(84/84)Finance Agent v2.1 *
GPT-5.6 Luna
N/AHy4 Preview
0.00%± 2.06
(30/30)Tax Agent Bench *
GPT-5.6 Luna
0.00%± 3.11
(75/75)Hy4 Preview
0.00%± 3.38
(75/75)MedCode *
GPT-5.6 Luna
0.00%± 2.27
(107/107)Hy4 Preview
0.00%± 2.13
(107/107)Terminal-Bench-Science
GPT-5.6 Luna
0.00%± 0.00
(42/42)Hy4 Preview
0.00%± 1.43
(42/42)Code Migration v1.1 *
GPT-5.6 Luna
N/AHy4 Preview
0.00%± 3.59
(28/28)Terminal-Bench 4.0
GPT-5.6 Luna
0.00%± 1.01
(54/54)Hy4 Preview
0.00%± 1.34
(54/54)Vibe Code Bench v1.1 *
GPT-5.6 Luna
0.00%± 3.07
(118/118)Hy4 Preview
0.00%± 4.04
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
60.29%
vs.45.90%
Finance
56.09%
vs.54.40%
Healthcare
63.39%
vs.63.42%
Math
60.00%
vs.75.00%
Science
25.30%
vs.35.34%
Academic
87.58%
vs.N/A
Education
44.22%
vs.N/A
Coding
46.64%
vs.38.05%
Cyber
37.58%
vs.33.82%
Social Mobility
61.16%
vs.68.61%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$1.446
Cost / TestVals Index
N/A
vs.$1.446
Input Cost/ 1M Tokens
$0.20
vs.$0.834
Input Cache Write/ 1M Tokens
$0.25
vs.N/A
Input Cache Read/ 1M Tokens
$0.02
vs.$0.042
Output Cost/ 1M Tokens
$1.20
vs.$2.501
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Openrouter |
| Latency | N/A | 3562.64s |
| Cost (In/Out) | $0.2 / $1.2 | $0.834 / $2.501 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 64k |
| Input Modality |