Compare Models
Select models (max 5)
Claude Fable 5.1GPT-5.6 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 65.83%±1.11 | 58.01%±1.02 |
| Legal Research BenchAgentic US legal research | 55.29%±3.46 | 48.08%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 58.88%±2.06 | 53.76%±0.85 |
| Tax Agent BenchAgentic US corporate tax research | 77.64%±2.83 | 67.95%±3.12 |
| MedCodeMedical billing code support | 53.51%±2.17 | 43.97%±2.26 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 40.00%±5.90 | 20.00%±4.82 |
| Code MigrationRewriting programs in new languages | 54.61%±4.81 | 52.92%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 58.08%±3.31 | 37.88%±0.00 |
| Vibe Code Bench v1.1Building web apps from scratch | 90.26%±1.57 | 80.50%±3.72 |
Benchmarks
Vals Index *
Claude Fable 5.1
0.00%± 1.11
(43/43)GPT-5.6 Sol
0.00%± 1.02
(43/43)Legal Research Bench *
Claude Fable 5.1
0.00%± 3.46
(73/73)GPT-5.6 Sol
0.00%± 3.47
(73/73)Finance Agent (v2) *
Claude Fable 5.1
0.00%± 2.06
(74/74)GPT-5.6 Sol
0.00%± 0.85
(74/74)Tax Agent Bench *
Claude Fable 5.1
0.00%± 2.83
(65/65)GPT-5.6 Sol
0.00%± 3.12
(65/65)MedCode *
Claude Fable 5.1
0.00%± 2.17
(104/104)GPT-5.6 Sol
0.00%± 2.26
(104/104)Terminal-Bench Science
Claude Fable 5.1
0.00%± 5.90
(38/38)GPT-5.6 Sol
0.00%± 4.82
(38/38)Code Migration *
Claude Fable 5.1
0.00%± 4.81
(73/73)GPT-5.6 Sol
0.00%± 4.35
(73/73)Terminal-Bench 4.0
Claude Fable 5.1
0.00%± 3.31
(43/43)GPT-5.6 Sol
0.00%± 0.00
(43/43)Vibe Code Bench v1.1 *
Claude Fable 5.1
0.00%± 1.57
(108/108)GPT-5.6 Sol
0.00%± 3.72
(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
50.16%
vs.45.85%
Finance
71.99%
vs.67.22%
Healthcare
72.40%
vs.64.60%
Math
100.00%
vs.83.00%
Science
43.87%
vs.41.48%
Academic
92.15%
vs.91.05%
Education
48.53%
vs.52.56%
Coding
60.10%
vs.57.43%
Cyber
46.66%
vs.53.42%
Social Mobility
74.90%
vs.66.51%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$28.71
$14.24
Cost / TestVals Index
$28.71
vs.$14.24
Input Cost/ 1M Tokens
$10.00
vs.$4.00
Input Cache Write/ 1M Tokens
$12.50
vs.$5.00
Input Cache Read/ 1M Tokens
$0.25
vs.$0.40
Output Cost/ 1M Tokens
$50.00
vs.$20.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | OpenAI |
| Latency | 4608.95s | 2242.72s |
| Cost (In/Out) | $10 / $50 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |