Compare Models

Select models (max 7)
DeepSeek V4 Pro 0813GLM 5.3 Flash
Benchmarks

Vals Index *

DeepSeek V4 Pro 0813
0.00%± 1.04
(26/26)
GLM 5.3 Flash
0.00%± 1.25
(26/26)

Legal Research Bench *

DeepSeek V4 Pro 0813
0.00%± 3.42
(84/84)
GLM 5.3 Flash
0.00%± 3.46
(84/84)

Finance Agent v2.1 *

DeepSeek V4 Pro 0813
0.00%± 2.08
(30/30)
GLM 5.3 Flash
0.00%± 2.03
(30/30)

Tax Agent Bench *

DeepSeek V4 Pro 0813
0.00%± 3.09
(75/75)
GLM 5.3 Flash
0.00%± 3.35
(75/75)

MedCode *

DeepSeek V4 Pro 0813
0.00%± 2.16
(107/107)
GLM 5.3 Flash
N/A

Terminal-Bench-Science

DeepSeek V4 Pro 0813
0.00%± 2.44
(42/42)
GLM 5.3 Flash
0.00%± 2.01
(42/42)

Code Migration v1.1 *

DeepSeek V4 Pro 0813
0.00%± 2.23
(28/28)
GLM 5.3 Flash
0.00%± 2.99
(28/28)

Terminal-Bench 4.0

DeepSeek V4 Pro 0813
0.00%± 2.02
(54/54)
GLM 5.3 Flash
0.00%± 2.67
(54/54)

Vibe Code Bench v1.1 *

DeepSeek V4 Pro 0813
0.00%± 3.15
(118/118)
GLM 5.3 Flash
0.00%± 5.28
(118/118)

Overall performance

Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law

2026-10-22

Comparison by Industry

Model performance on different sections of the economy.

Legal
44.69%
46.51%
Finance
55.51%
58.50%
Healthcare
61.32%
88.94%
Math
50.00%
21.00%
Science
4.29%
2.86%
Academic
89.70%
86.14%
Coding
50.59%
44.55%
Cyber
37.38%
34.31%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$2.50
$1.134
Cost / TestVals Index
$2.50
$1.134
Input Cost/ 1M Tokens
$1.32
$0.075
Input Cache Read/ 1M Tokens
$0.044
$0.015
Output Cost/ 1M Tokens
$3.96
$0.25

Model Metadata

Basic information about each model.

Model provider
DeepSeekDeepSeek
zAIzAI
Latency3482.91s3830.63s
Cost (In/Out)$1.32 / $3.96$0.075 / $0.25
Context Window1M1M
Max Output Token384k128k
Input Modality