Compare Models

Select models (max 7)
Gemini 3.7 FlashGPT-6 Luna
Benchmarks

Vals Index *

Gemini 3.7 Flash
N/A
GPT-6 Luna
0.00%± 1.12
(37/37)

Legal Research Bench *

Gemini 3.7 Flash
0.00%± 3.31
(94/94)
GPT-6 Luna
0.00%± 3.19
(94/94)

Finance Agent v2.1 *

Gemini 3.7 Flash
N/A
GPT-6 Luna
0.00%± 2.12
(40/40)

Tax Agent Bench *

Gemini 3.7 Flash
0.00%± 3.03
(85/85)
GPT-6 Luna
0.00%± 2.87
(85/85)

MedCode *

Gemini 3.7 Flash
0.00%± 2.12
(107/107)
GPT-6 Luna
0.00%± 2.30
(107/107)

Terminal-Bench-Science

Gemini 3.7 Flash
0.00%± 3.10
(45/45)
GPT-6 Luna
0.00%± 2.44
(45/45)

Code Migration v1.1 *

Gemini 3.7 Flash
N/A
GPT-6 Luna
0.00%± 3.61
(30/30)

Terminal-Bench 4.0

Gemini 3.7 Flash
0.00%± 3.03
(64/64)
GPT-6 Luna
0.00%± 1.51
(64/64)

Vibe Code Bench v1.1 *

Gemini 3.7 Flash
0.00%± 4.84
(128/128)
GPT-6 Luna
0.00%± 3.38
(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%
32.33%
Finance
54.73%
61.48%
Healthcare
68.67%
64.20%
Math
58.00%
64.00%
Science
7.14%
28.38%
Academic
91.01%
N/A
Education
N/A
83.40%
Coding
55.10%
39.25%
Cyber
24.16%
39.46%
Social Mobility
N/A
57.65%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
$0.45
Cost / TestVals Index
N/A
$0.45
Input Cost/ 1M Tokens
$1.50
$0.10
Input Cache Write/ 1M Tokens
N/A
$0.125
Input Cache Read/ 1M Tokens
$0.15
$0.01
Output Cost/ 1M Tokens
$7.50
$0.50

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
OpenAIOpenAI
LatencyN/A1943.19s
Cost (In/Out)$1.5 / $7.5$0.1 / $0.5
Context Window1M1M
Max Output Token66k128k
Input Modality