Compare Models
Select models (max 7)
Claude Opus 5.5GPT-6.1 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 70.18%±1.00 | 63.94%±1.07 |
| Legal Research BenchAgentic US legal research | 50.48%±3.48 | 38.46%±3.38 |
| Finance Agent v2.1Core financial analyst tasks | 67.85%±2.05 | 61.82%±2.11 |
| Tax Agent BenchAgentic US corporate tax research | 45.57%±3.59 | 21.75%±2.98 |
| MedCodeMedical billing code support | 49.80%±2.27 | 48.84%±2.12 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 47.14%±6.01 | 52.86%±6.01 |
| Code Migration v1.1Rewriting programs in new languages | 81.01%±3.21 | 77.32%±2.98 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 65.15%±0.00 | 55.05%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 90.29%±1.53 | 88.93%±1.89 |
Benchmarks
Vals Index *
Claude Opus 5.5
0.00%± 1.00
(26/26)GPT-6.1 Sol
0.00%± 1.07
(26/26)Legal Research Bench *
Claude Opus 5.5
0.00%± 3.48
(84/84)GPT-6.1 Sol
0.00%± 3.38
(84/84)Finance Agent v2.1 *
Claude Opus 5.5
0.00%± 2.05
(30/30)GPT-6.1 Sol
0.00%± 2.11
(30/30)Tax Agent Bench *
Claude Opus 5.5
0.00%± 3.59
(75/75)GPT-6.1 Sol
0.00%± 2.98
(75/75)MedCode *
Claude Opus 5.5
0.00%± 2.27
(107/107)GPT-6.1 Sol
0.00%± 2.12
(107/107)Terminal-Bench-Science
Claude Opus 5.5
0.00%± 6.01
(42/42)GPT-6.1 Sol
0.00%± 6.01
(42/42)Code Migration v1.1 *
Claude Opus 5.5
0.00%± 3.21
(28/28)GPT-6.1 Sol
0.00%± 2.98
(28/28)Terminal-Bench 4.0
Claude Opus 5.5
0.00%± 0.00
(54/54)GPT-6.1 Sol
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
Claude Opus 5.5
0.00%± 1.53
(118/118)GPT-6.1 Sol
0.00%± 1.89
(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
29.82%
vs.22.36%
Finance
72.31%
vs.63.66%
Healthcare
70.61%
vs.67.65%
Math
100.00%
vs.99.00%
Science
47.63%
vs.51.80%
Education
45.83%
vs.46.54%
Coding
64.37%
vs.60.79%
Cyber
44.47%
vs.45.02%
Social Mobility
70.64%
vs.59.34%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$28.12
$3.614
Cost / TestVals Index
$28.12
vs.$3.614
Input Cost/ 1M Tokens
$4.00
vs.$2.00
Input Cache Write/ 1M Tokens
$5.00
vs.$2.50
Input Cache Read/ 1M Tokens
$0.20
vs.$0.10
Output Cost/ 1M Tokens
$20.00
vs.$10.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | 5071.09s | 2664.03s |
| Cost (In/Out) | $4 / $20 | $2 / $10 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |