Compare Models

Select models (max 5)
Gemini 3.6 FlashGLM 5.2
Benchmarks

Legal Research Bench *

Gemini 3.6 Flash
0.00%± 3.01
(73/73)
GLM 5.2
0.00%± 3.22
(73/73)

Finance Agent (v2) *

Gemini 3.6 Flash
0.00%± 0.18
(74/74)
GLM 5.2
0.00%± 0.88
(74/74)

Tax Agent Bench *

Gemini 3.6 Flash
0.00%± 3.30
(65/65)
GLM 5.2
N/A

MedCode *

Gemini 3.6 Flash
0.00%± 2.16
(104/104)
GLM 5.2
0.00%± 2.17
(104/104)

Terminal-Bench Science

Gemini 3.6 Flash
0.00%± 2.44
(38/38)
GLM 5.2
N/A

Code Migration *

Gemini 3.6 Flash
0.00%± 4.07
(73/73)
GLM 5.2
0.00%± 4.14
(73/73)

Vibe Code Bench v1.1 *

Gemini 3.6 Flash
0.00%± 4.29
(108/108)
GLM 5.2
0.00%± 4.79
(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%
40.80%
Finance
62.81%
61.52%
Healthcare
66.41%
62.15%
Science
31.40%
N/A
Academic
90.36%
86.16%
Education
48.69%
N/A
Coding
49.61%
49.95%
Cyber
45.36%
0.00%
Social Mobility
56.56%
N/A

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
$1.40
Input Cache Read/ 1M Tokens
$0.15
$0.26
Output Cost/ 1M Tokens
$7.50
$4.40

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
zAIzAI
LatencyN/AN/A
Cost (In/Out)$1.5 / $7.5$1.4 / $4.4
Context Window1M1M
Max Output Token66k131k
Input Modality