Compare Models

Select models (max 5)
Gemini 3.6 FlashGPT 5.5
Benchmarks

Legal Research Bench *

Gemini 3.6 Flash
0.00%± 3.01
(73/73)
GPT 5.5
0.00%± 3.41
(73/73)

Finance Agent (v2) *

Gemini 3.6 Flash
0.00%± 0.18
(74/74)
GPT 5.5
0.00%± 0.55
(74/74)

Tax Agent Bench *

Gemini 3.6 Flash
0.00%± 3.30
(65/65)
GPT 5.5
0.00%± 3.22
(65/65)

MedCode *

Gemini 3.6 Flash
0.00%± 2.16
(104/104)
GPT 5.5
0.00%± 2.19
(104/104)

Terminal-Bench Science

Gemini 3.6 Flash
0.00%± 2.44
(38/38)
GPT 5.5
N/A

Code Migration *

Gemini 3.6 Flash
0.00%± 4.07
(73/73)
GPT 5.5
0.00%± 4.16
(73/73)

Vibe Code Bench v1.1 *

Gemini 3.6 Flash
0.00%± 4.29
(108/108)
GPT 5.5
0.00%± 4.54
(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
38.35%
43.55%
Finance
62.81%
64.10%
Healthcare
66.41%
67.98%
Science
31.40%
N/A
Academic
90.36%
89.86%
Education
48.69%
51.53%
Coding
49.61%
57.60%
Cyber
45.36%
3.82%
Social Mobility
56.56%
60.89%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
N/A
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
LatencyN/AN/A
Cost (In/Out)$1.5 / $7.5$5 / $30
Context Window1M1M
Max Output Token66k128k
Input Modality