Compare Models
Select models (max 5)
Gemini 3.7 FlashGPT-5.6 Terra
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 59.31%±1.06 | 59.59%±1.33 |
| Legal Research BenchAgentic US legal research | 34.62%±3.31 | 41.35%±3.42 |
| Finance Agent (v2)Core financial analyst tasks | 59.04%±0.27 | 54.44%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 57.66%±3.31 | 65.20%±3.19 |
| MedCodeMedical billing code support | 53.39%±2.12 | 43.41%±2.17 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 5.71%±2.79 | 10.00%±3.61 |
| Code MigrationRewriting programs in new languages | 34.80%±4.22 | 47.80%±4.28 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 6.06%±0.88 | 26.26%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 70.39%±4.84 | 74.59%±4.20 |
Benchmarks
Vals Index *
Gemini 3.7 Flash
0.00%± 1.06
(66/66)GPT-5.6 Terra
0.00%± 1.33
(66/66)Legal Research Bench *
Gemini 3.7 Flash
0.00%± 3.31
(69/69)GPT-5.6 Terra
0.00%± 3.42
(69/69)Finance Agent (v2) *
Gemini 3.7 Flash
0.00%± 0.27
(70/70)GPT-5.6 Terra
0.00%± 2.07
(70/70)Tax Agent Bench *
Gemini 3.7 Flash
0.00%± 3.31
(61/61)GPT-5.6 Terra
0.00%± 3.19
(61/61)MedCode *
Gemini 3.7 Flash
0.00%± 2.12
(102/102)GPT-5.6 Terra
0.00%± 2.17
(102/102)Terminal-Bench Science
Gemini 3.7 Flash
0.00%± 2.79
(33/33)GPT-5.6 Terra
0.00%± 3.61
(33/33)Code Migration *
Gemini 3.7 Flash
0.00%± 4.22
(69/69)GPT-5.6 Terra
0.00%± 4.28
(69/69)Terminal-Bench 4.0
Gemini 3.7 Flash
0.00%± 0.88
(37/37)GPT-5.6 Terra
0.00%± 0.51
(37/37)Vibe Code Bench v1.1 *
Gemini 3.7 Flash
0.00%± 4.84
(104/104)GPT-5.6 Terra
0.00%± 4.20
(104/104)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-09-27
Comparison by Industry
Model performance on different sections of the economy.
Vals Index
38.79%
vs.59.59%
Legal
43.54%
vs.42.43%
Finance
65.88%
vs.65.87%
Healthcare
68.67%
vs.63.14%
Math
58.00%
vs.74.00%
Science
5.71%
vs.10.00%
Academic
91.01%
vs.88.01%
Education
49.23%
vs.47.00%
Coding
51.80%
vs.54.65%
Beta
24.16%
vs.72.08%
Social Mobility
N/A
vs.62.38%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.17
$5.179
Cost / TestVals Index
$4.17
vs.$5.179
Input Cost/ 1M Tokens
$1.50
vs.$2.00
Input Cache Write/ 1M Tokens
N/A
vs.$2.50
Input Cache Read/ 1M Tokens
$0.15
vs.$0.20
Output Cost/ 1M Tokens
$7.50
vs.$12.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | OpenAI |
| Latency | 2592.93s | 1730.18s |
| Cost (In/Out) | $1.5 / $7.5 | $2 / $12 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |