Compare Models

Select models (max 5)
Gemini 3.7 FlashGPT 5.5
Benchmarks

Vals Index *

Gemini 3.7 Flash
0.00%± 1.06
(66/66)
GPT 5.5
0.00%± 1.15
(66/66)

Legal Research Bench *

Gemini 3.7 Flash
0.00%± 3.31
(69/69)
GPT 5.5
0.00%± 3.41
(69/69)

Finance Agent (v2) *

Gemini 3.7 Flash
0.00%± 0.27
(70/70)
GPT 5.5
0.00%± 0.55
(70/70)

Tax Agent Bench *

Gemini 3.7 Flash
0.00%± 3.31
(61/61)
GPT 5.5
0.00%± 3.22
(61/61)

MedCode *

Gemini 3.7 Flash
0.00%± 2.12
(102/102)
GPT 5.5
0.00%± 2.19
(102/102)

Terminal-Bench Science

Gemini 3.7 Flash
0.00%± 2.79
(33/33)
GPT 5.5
N/A

Code Migration *

Gemini 3.7 Flash
0.00%± 4.22
(69/69)
GPT 5.5
0.00%± 4.16
(69/69)

Terminal-Bench 4.0

Gemini 3.7 Flash
0.00%± 0.88
(37/37)
GPT 5.5
N/A

Vibe Code Bench v1.1 *

Gemini 3.7 Flash
0.00%± 4.84
(104/104)
GPT 5.5
0.00%± 4.54
(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%
36.95%
Legal
43.54%
43.55%
Finance
65.88%
64.10%
Healthcare
68.67%
67.98%
Math
58.00%
N/A
Science
5.71%
N/A
Academic
91.01%
89.86%
Education
49.23%
51.53%
Coding
51.80%
57.60%
Beta
24.16%
6.08%
Social Mobility
N/A
60.89%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$4.17
$6.142
Cost / TestVals Index
$4.17
$6.142
Input Cost/ 1M Tokens
$1.50
$5.00
Input Cache Read/ 1M Tokens
$0.15
$0.50
Output Cost/ 1M Tokens
$7.50
$30.00

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
OpenAIOpenAI
Latency2592.93s1251.25s
Cost (In/Out)$1.5 / $7.5$5 / $30
Context Window1M1M
Max Output Token66k128k
Input Modality