Compare Models
Select models (max 5)
WonderGPT-6 Astra
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 61.06%±1.07 | 63.13%±1.19 |
| Legal Research BenchAgentic US legal research | 50.48%±3.48 | 39.42%±3.40 |
| Finance Agent (v2)Core financial analyst tasks | 56.64%±0.38 | 53.54%±2.08 |
| Tax Agent BenchAgentic US corporate tax research | 36.27%±3.47 | 20.72%±2.92 |
| MedCodeMedical billing code support | N/A | 48.49%±2.13 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 22.86%±5.05 | 62.86%±5.82 |
| Code MigrationRewriting programs in new languages | 62.55%±4.35 | 67.74%±4.22 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 49.49%±2.20 | 59.60%±4.40 |
| Vibe Code Bench v1.1Building web apps from scratch | 83.09%±2.49 | 89.59%±2.17 |
Benchmarks
Vals Index *
Wonder
0.00%± 1.07
(50/50)GPT-6 Astra
0.00%± 1.19
(50/50)Legal Research Bench *
Wonder
0.00%± 3.48
(80/80)GPT-6 Astra
0.00%± 3.40
(80/80)Finance Agent (v2) *
Wonder
0.00%± 0.38
(80/80)GPT-6 Astra
0.00%± 2.08
(80/80)Tax Agent Bench *
Wonder
0.00%± 3.47
(71/71)GPT-6 Astra
0.00%± 2.92
(71/71)MedCode *
Wonder
N/AGPT-6 Astra
0.00%± 2.13
(107/107)Terminal-Bench-Science
Wonder
0.00%± 5.05
(41/41)GPT-6 Astra
0.00%± 5.82
(41/41)Code Migration *
Wonder
0.00%± 4.35
(79/79)GPT-6 Astra
0.00%± 4.22
(79/79)Terminal-Bench 4.0
Wonder
0.00%± 2.20
(50/50)GPT-6 Astra
0.00%± 4.40
(50/50)Vibe Code Bench v1.1 *
Wonder
0.00%± 2.49
(114/114)GPT-6 Astra
0.00%± 2.17
(114/114)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-18
Comparison by Industry
Model performance on different sections of the economy.
Legal
33.78%
vs.22.42%
Finance
53.33%
vs.48.65%
Healthcare
N/A
vs.68.20%
Math
84.00%
vs.99.00%
Science
39.12%
vs.54.65%
Education
N/A
vs.46.37%
Coding
55.71%
vs.56.20%
Cyber
80.36%
vs.48.97%
Social Mobility
70.23%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$11.43
$18.46
Cost / TestVals Index
$11.43
vs.$18.46
Input Cost/ 1M Tokens
$4.00
vs.$10.00
Input Cache Write/ 1M Tokens
N/A
vs.$12.50
Input Cache Read/ 1M Tokens
$0.20
vs.$1.00
Output Cost/ 1M Tokens
$20.00
vs.$50.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Meta | OpenAI |
| Latency | 2227.95s | 1667.74s |
| Cost (In/Out) | $4 / $20 | $10 / $50 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 128k |
| Input Modality |