Compare Models
Select models (max 5)
GPT 5.5Hy4 Preview
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 49.94%±1.15 |
| Legal Research BenchAgentic US legal research | 40.38%±3.41 | 45.19%±3.46 |
| Finance Agent (v2)Core financial analyst tasks | 51.76%±0.55 | 55.06%±0.31 |
| Tax Agent BenchAgentic US corporate tax research | 60.46%±3.22 | 63.71%±3.26 |
| MedCodeMedical billing code support | 49.10%±2.19 | 43.25%±2.13 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 1.43%±1.43 |
| Code MigrationRewriting programs in new languages | 45.16%±4.16 | 47.43%±4.27 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 8.08%±1.34 |
| Vibe Code Bench v1.1Building web apps from scratch | 69.85%±4.54 | 77.48%±4.04 |
Benchmarks
Vals Index *
GPT 5.5
N/AHy4 Preview
0.00%± 1.15
(43/43)Legal Research Bench *
GPT 5.5
0.00%± 3.41
(73/73)Hy4 Preview
0.00%± 3.46
(73/73)Finance Agent (v2) *
GPT 5.5
0.00%± 0.55
(74/74)Hy4 Preview
0.00%± 0.31
(74/74)Tax Agent Bench *
GPT 5.5
0.00%± 3.22
(65/65)Hy4 Preview
0.00%± 3.26
(65/65)MedCode *
GPT 5.5
0.00%± 2.19
(104/104)Hy4 Preview
0.00%± 2.13
(104/104)Terminal-Bench Science
GPT 5.5
N/AHy4 Preview
0.00%± 1.43
(38/38)Code Migration *
GPT 5.5
0.00%± 4.16
(73/73)Hy4 Preview
0.00%± 4.27
(73/73)Terminal-Bench 4.0
GPT 5.5
N/AHy4 Preview
0.00%± 1.34
(43/43)Vibe Code Bench v1.1 *
GPT 5.5
0.00%± 4.54
(108/108)Hy4 Preview
0.00%± 4.04
(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
43.55%
vs.46.04%
Finance
64.10%
vs.58.95%
Healthcare
67.98%
vs.63.42%
Math
N/A
vs.75.00%
Science
N/A
vs.35.34%
Academic
89.86%
vs.N/A
Education
51.53%
vs.N/A
Coding
57.60%
vs.38.47%
Cyber
3.82%
vs.33.82%
Social Mobility
60.89%
vs.68.61%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$1.439
Cost / TestVals Index
N/A
vs.$1.439
Input Cost/ 1M Tokens
$5.00
vs.$0.834
Input Cache Read/ 1M Tokens
$0.50
vs.$0.042
Output Cost/ 1M Tokens
$30.00
vs.$2.501
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Openrouter |
| Latency | N/A | 3656.53s |
| Cost (In/Out) | $5 / $30 | $0.834 / $2.501 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 64k |
| Input Modality |