Compare Models
Select models (max 7)
WonderGPT-5.6 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 64.88%±1.07 | N/A |
| Legal Research BenchAgentic US legal research | 50.48%±3.48 | 48.08%±3.47 |
| Finance Agent v2.1Core financial analyst tasks | 65.55%±2.03 | N/A |
| Tax Agent BenchAgentic US corporate tax research | 36.27%±3.47 | 31.09%±3.34 |
| MedCodeMedical billing code support | N/A | 43.97%±2.26 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 22.86%±5.05 | 20.00%±4.82 |
| Code Migration v1.1Rewriting programs in new languages | 72.36%±3.19 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 49.49%±2.20 | 37.88%±0.00 |
| Vibe Code Bench v1.1Building web apps from scratch | 83.09%±2.49 | 80.50%±3.72 |
Benchmarks
Vals Index *
Wonder
0.00%± 1.07
(26/26)GPT-5.6 Sol
N/ALegal Research Bench *
Wonder
0.00%± 3.48
(84/84)GPT-5.6 Sol
0.00%± 3.47
(84/84)Finance Agent v2.1 *
Wonder
0.00%± 2.03
(30/30)GPT-5.6 Sol
N/ATax Agent Bench *
Wonder
0.00%± 3.47
(75/75)GPT-5.6 Sol
0.00%± 3.34
(75/75)MedCode *
Wonder
N/AGPT-5.6 Sol
0.00%± 2.26
(107/107)Terminal-Bench-Science
Wonder
0.00%± 5.05
(42/42)GPT-5.6 Sol
0.00%± 4.82
(42/42)Code Migration v1.1 *
Wonder
0.00%± 3.19
(28/28)GPT-5.6 Sol
N/ATerminal-Bench 4.0
Wonder
0.00%± 2.20
(54/54)GPT-5.6 Sol
0.00%± 0.00
(54/54)Vibe Code Bench v1.1 *
Wonder
0.00%± 2.49
(118/118)GPT-5.6 Sol
0.00%± 3.72
(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
37.12%
vs.67.52%
Finance
58.11%
vs.57.72%
Healthcare
N/A
vs.64.60%
Math
84.00%
vs.83.00%
Science
39.12%
vs.41.48%
Academic
N/A
vs.91.05%
Education
N/A
vs.52.56%
Coding
57.34%
vs.57.99%
Cyber
80.36%
vs.53.42%
Social Mobility
70.23%
vs.66.51%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$10.65
N/A
Cost / TestVals Index
$10.65
vs.N/A
Input Cost/ 1M Tokens
$4.00
vs.$4.00
Input Cache Write/ 1M Tokens
N/A
vs.$5.00
Input Cache Read/ 1M Tokens
$0.20
vs.$0.40
Output Cost/ 1M Tokens
$20.00
vs.$20.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Meta | OpenAI |
| Latency | 2123.57s | N/A |
| Cost (In/Out) | $4 / $20 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 128k |
| Input Modality |