Compare Models

Select models (max 5)
Claude Sonnet 4.6GLM 5.3 Flash
Benchmarks

Legal Research Bench *

Claude Sonnet 4.6
0.00%± 3.38
(73/73)
GLM 5.3 Flash
0.00%± 3.46
(73/73)

Finance Agent (v2) *

Claude Sonnet 4.6
0.00%± 0.33
(74/74)
GLM 5.3 Flash
0.00%± 2.06
(74/74)

Tax Agent Bench *

Claude Sonnet 4.6
0.00%± 3.11
(65/65)
GLM 5.3 Flash
0.00%± 3.26
(65/65)

Terminal-Bench Science

Claude Sonnet 4.6
N/A
GLM 5.3 Flash
0.00%± 2.01
(38/38)

Code Migration *

Claude Sonnet 4.6
0.00%± 4.14
(73/73)
GLM 5.3 Flash
0.00%± 4.21
(73/73)

Vibe Code Bench v1.1 *

Claude Sonnet 4.6
0.00%± 4.64
(108/108)
GLM 5.3 Flash
0.00%± 5.28
(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
41.86%
45.26%
Finance
64.17%
62.83%
Healthcare
N/A
88.94%
Math
N/A
21.00%
Science
N/A
2.86%
Academic
85.51%
86.14%
Education
46.58%
N/A
Coding
50.07%
41.56%
Cyber
N/A
67.86%
Social Mobility
62.45%
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
$3.00
$0.075
Input Cache Write/ 1M Tokens
$3.75
N/A
Input Cache Read/ 1M Tokens
$0.30
$0.015
Output Cost/ 1M Tokens
$15.00
$0.25

Model Metadata

Basic information about each model.

Model provider
AnthropicAnthropic
zAIzAI
LatencyN/AN/A
Cost (In/Out)$3 / $15$0.075 / $0.25
Context Window1M1M
Max Output Token128k128k
Input Modality