Compare Models
Select models (max 5)
Gemini 3.8 FlashGPT-5.6 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 54.83%±1.03 | 58.01%±1.02 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 48.08%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 61.44%±0.13 | 53.76%±0.85 |
| Tax Agent BenchAgentic US corporate tax research | 66.77%±3.15 | 67.95%±3.12 |
| MedCodeMedical billing code support | 48.13%±2.18 | 43.97%±2.26 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 8.57%±3.37 | 20.00%±4.82 |
| Code MigrationRewriting programs in new languages | 36.55%±4.18 | 52.92%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.19%±2.52 | 37.88%±0.00 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 80.50%±3.72 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.03
(43/43)GPT-5.6 Sol
0.00%± 1.02
(43/43)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(73/73)GPT-5.6 Sol
0.00%± 3.47
(73/73)Finance Agent (v2) *
Gemini 3.8 Flash
0.00%± 0.13
(74/74)GPT-5.6 Sol
0.00%± 0.85
(74/74)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.15
(65/65)GPT-5.6 Sol
0.00%± 3.12
(65/65)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(104/104)GPT-5.6 Sol
0.00%± 2.26
(104/104)Terminal-Bench Science
Gemini 3.8 Flash
0.00%± 3.37
(38/38)GPT-5.6 Sol
0.00%± 4.82
(38/38)Code Migration *
Gemini 3.8 Flash
0.00%± 4.18
(73/73)GPT-5.6 Sol
0.00%± 4.35
(73/73)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.52
(43/43)GPT-5.6 Sol
0.00%± 0.00
(43/43)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(108/108)GPT-5.6 Sol
0.00%± 3.72
(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.45.85%
Finance
68.04%
vs.67.22%
Healthcare
66.32%
vs.64.60%
Math
48.00%
vs.83.00%
Science
35.76%
vs.41.48%
Academic
91.25%
vs.91.05%
Education
35.06%
vs.52.56%
Coding
48.73%
vs.57.43%
Cyber
43.75%
vs.53.42%
Social Mobility
65.29%
vs.66.51%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$5.729
$14.24
Cost / TestVals Index
$5.729
vs.$14.24
Input Cost/ 1M Tokens
$1.50
vs.$4.00
Input Cache Write/ 1M Tokens
N/A
vs.$5.00
Input Cache Read/ 1M Tokens
$0.15
vs.$0.40
Output Cost/ 1M Tokens
$7.50
vs.$20.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | OpenAI |
| Latency | 3117.16s | 2242.72s |
| Cost (In/Out) | $1.5 / $7.5 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |