Compare Models
Select models (max 7)
GPT 5.4 NanoClaude Fable 5.2
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 71.31%±0.96 |
| Legal Research BenchAgentic US legal research | 6.25%±1.68 | 46.15%±3.46 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 69.47%±1.98 |
| Tax Agent BenchAgentic US corporate tax research | 4.97%±1.42 | 32.09%±3.37 |
| MedCodeMedical billing code support | 41.03%±2.26 | N/A |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | N/A | 55.71%±5.98 |
| Code Migration v1.1Rewriting programs in new languages | N/A | 83.27%±3.12 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 65.15%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 26.10%±5.08 | 93.77%±1.15 |
Benchmarks
Vals Index *
GPT 5.4 Nano
N/AClaude Fable 5.2
0.00%± 0.96
(36/36)Legal Research Bench *
GPT 5.4 Nano
0.00%± 1.68
(93/93)Claude Fable 5.2
0.00%± 3.46
(93/93)Finance Agent v2.1 *
GPT 5.4 Nano
N/AClaude Fable 5.2
0.00%± 1.98
(39/39)Tax Agent Bench *
GPT 5.4 Nano
0.00%± 1.42
(84/84)Claude Fable 5.2
0.00%± 3.37
(84/84)MedCode *
GPT 5.4 Nano
0.00%± 2.26
(107/107)Claude Fable 5.2
N/ATerminal-Bench-Science
GPT 5.4 Nano
N/AClaude Fable 5.2
0.00%± 5.98
(45/45)Code Migration v1.1 *
GPT 5.4 Nano
N/AClaude Fable 5.2
0.00%± 3.12
(30/30)Terminal-Bench 4.0
GPT 5.4 Nano
N/AClaude Fable 5.2
0.00%± 2.31
(63/63)Vibe Code Bench v1.1 *
GPT 5.4 Nano
0.00%± 5.08
(127/127)Claude Fable 5.2
0.00%± 1.15
(127/127)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, legal, and tax
•2026-11-09
Comparison by Industry
Model performance on different sections of the economy.
Legal
42.09%
vs.41.71%
Finance
43.83%
vs.59.65%
Healthcare
59.06%
vs.N/A
Math
N/A
vs.100.00%
Science
N/A
vs.63.74%
Academic
76.09%
vs.N/A
Coding
59.97%
vs.64.70%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$17.94
Cost / TestVals Index
N/A
vs.$17.94
Input Cost/ 1M Tokens
$0.20
vs.$8.00
Input Cache Write/ 1M Tokens
N/A
vs.$10.00
Input Cache Read/ 1M Tokens
$0.02
vs.$0.20
Output Cost/ 1M Tokens
$1.25
vs.$40.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Anthropic |
| Latency | N/A | 2621.82s |
| Cost (In/Out) | $0.2 / $1.25 | $8 / $40 |
| Context Window | 400k | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |