Compare Models
Select models (max 7)
Gemini 3.7 FlashGPT-5.6 Terra
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 34.62%±3.31 | 41.35%±3.42 |
| Tax Agent BenchAgentic US corporate tax research | 22.80%±3.03 | 30.04%±3.31 |
| MedCodeMedical billing code support | 53.39%±2.12 | 43.41%±2.17 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 7.14%±3.10 | 10.00%±3.61 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 12.12%±3.03 | 22.73%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 70.39%±4.84 | 74.59%±4.20 |
Benchmarks
Legal Research Bench *
Gemini 3.7 Flash
0.00%± 3.31
(94/94)GPT-5.6 Terra
0.00%± 3.42
(94/94)Tax Agent Bench *
Gemini 3.7 Flash
0.00%± 3.03
(85/85)GPT-5.6 Terra
0.00%± 3.31
(85/85)MedCode *
Gemini 3.7 Flash
0.00%± 2.12
(107/107)GPT-5.6 Terra
0.00%± 2.17
(107/107)Terminal-Bench-Science
Gemini 3.7 Flash
0.00%± 3.10
(45/45)GPT-5.6 Terra
0.00%± 3.61
(45/45)Terminal-Bench 4.0
Gemini 3.7 Flash
0.00%± 3.03
(64/64)GPT-5.6 Terra
0.00%± 2.31
(64/64)Vibe Code Bench v1.1 *
Gemini 3.7 Flash
0.00%± 4.84
(128/128)GPT-5.6 Terra
0.00%± 4.20
(128/128)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, legal, and tax
•2026-11-11
Comparison by Industry
Model performance on different sections of the economy.
Legal
60.94%
vs.63.23%
Finance
54.73%
vs.57.84%
Healthcare
68.67%
vs.63.14%
Math
58.00%
vs.74.00%
Science
7.14%
vs.10.00%
Academic
91.01%
vs.88.01%
Education
N/A
vs.87.04%
Coding
55.10%
vs.55.06%
Cyber
24.16%
vs.40.81%
Social Mobility
N/A
vs.62.38%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
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 | N/A | N/A |
| Cost (In/Out) | $1.5 / $7.5 | $2 / $12 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |