Compare Models
Select models (max 7)
WonderGPT-6.1 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 64.88%±1.07 | 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 | 65.55%±2.03 | 61.82%±2.11 |
| Tax Agent BenchAgentic US corporate tax research | 36.27%±3.47 | 21.75%±2.98 |
| MedCodeMedical billing code support | N/A | 48.84%±2.12 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 22.86%±5.05 | 52.86%±6.01 |
| Code Migration v1.1Rewriting programs in new languages | 72.36%±3.19 | 77.32%±2.98 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 49.49%±2.20 | 55.05%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 83.09%±2.49 | 88.93%±1.89 |
Benchmarks
Vals Index *
Wonder
0.00%± 1.07
(26/26)GPT-6.1 Sol
0.00%± 1.07
(26/26)Legal Research Bench *
Wonder
0.00%± 3.48
(84/84)GPT-6.1 Sol
0.00%± 3.38
(84/84)Finance Agent v2.1 *
Wonder
0.00%± 2.03
(30/30)GPT-6.1 Sol
0.00%± 2.11
(30/30)Tax Agent Bench *
Wonder
0.00%± 3.47
(75/75)GPT-6.1 Sol
0.00%± 2.98
(75/75)MedCode *
Wonder
N/AGPT-6.1 Sol
0.00%± 2.12
(107/107)Terminal-Bench-Science
Wonder
0.00%± 5.05
(42/42)GPT-6.1 Sol
0.00%± 6.01
(42/42)Code Migration v1.1 *
Wonder
0.00%± 3.19
(28/28)GPT-6.1 Sol
0.00%± 2.98
(28/28)Terminal-Bench 4.0
Wonder
0.00%± 2.20
(54/54)GPT-6.1 Sol
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
Wonder
0.00%± 2.49
(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
37.12%
vs.22.36%
Finance
58.11%
vs.63.66%
Healthcare
N/A
vs.67.65%
Math
84.00%
vs.99.00%
Science
39.12%
vs.51.80%
Education
N/A
vs.46.54%
Coding
57.34%
vs.60.79%
Cyber
80.36%
vs.45.02%
Social Mobility
70.23%
vs.59.34%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$10.65
$3.614
Cost / TestVals Index
$10.65
vs.$3.614
Input Cost/ 1M Tokens
$4.00
vs.$2.00
Input Cache Write/ 1M Tokens
N/A
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 | Meta | OpenAI |
| Latency | 2123.57s | 2664.03s |
| Cost (In/Out) | $4 / $20 | $2 / $10 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 128k |
| Input Modality |