Compare Models
Select models (max 5)
Gemini 3.8 FlashGPT-6 Astra
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 54.83%±1.03 | 63.13%±1.19 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 39.42%±3.40 |
| Finance Agent (v2)Core financial analyst tasks | 61.44%±0.13 | 53.54%±2.08 |
| Tax Agent BenchAgentic US corporate tax research | 66.77%±3.15 | 63.34%±3.15 |
| MedCodeMedical billing code support | 48.13%±2.18 | 48.49%±2.13 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 8.57%±3.37 | 62.86%±5.82 |
| Code MigrationRewriting programs in new languages | 36.55%±4.18 | 67.74%±4.22 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.19%±2.52 | 59.60%±4.40 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 89.59%±2.17 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.03
(43/43)GPT-6 Astra
0.00%± 1.19
(43/43)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(73/73)GPT-6 Astra
0.00%± 3.40
(73/73)Finance Agent (v2) *
Gemini 3.8 Flash
0.00%± 0.13
(74/74)GPT-6 Astra
0.00%± 2.08
(74/74)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.15
(65/65)GPT-6 Astra
0.00%± 3.15
(65/65)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(104/104)GPT-6 Astra
0.00%± 2.13
(104/104)Terminal-Bench Science
Gemini 3.8 Flash
0.00%± 3.37
(38/38)GPT-6 Astra
0.00%± 5.82
(38/38)Code Migration *
Gemini 3.8 Flash
0.00%± 4.18
(73/73)GPT-6 Astra
0.00%± 4.22
(73/73)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.52
(43/43)GPT-6 Astra
0.00%± 4.40
(43/43)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(108/108)GPT-6 Astra
0.00%± 2.17
(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
45.31%
vs.22.42%
Finance
68.04%
vs.62.86%
Healthcare
66.32%
vs.68.20%
Math
48.00%
vs.99.00%
Science
35.76%
vs.65.09%
Academic
91.25%
vs.N/A
Education
35.06%
vs.46.37%
Coding
48.73%
vs.58.35%
Cyber
43.75%
vs.48.97%
Social Mobility
65.29%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$5.729
$18.46
Cost / TestVals Index
$5.729
vs.$18.46
Input Cost/ 1M Tokens
$1.50
vs.$10.00
Input Cache Write/ 1M Tokens
N/A
vs.$12.50
Input Cache Read/ 1M Tokens
$0.15
vs.$1.00
Output Cost/ 1M Tokens
$7.50
vs.$50.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | OpenAI |
| Latency | 3117.16s | 1667.74s |
| Cost (In/Out) | $1.5 / $7.5 | $10 / $50 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |