Compare Models
Select models (max 7)
GLM 4.5GLM 4.6
 |  | |
|---|---|---|
| Vibe Code Bench v1.1Building web apps from scratch | N/A | 3.09%±1.16 |
Benchmarks
Vibe Code Bench v1.1 *
GLM 4.5
N/AGLM 4.6
0.00%± 1.16
(127/127)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, legal, and tax
•2026-11-09
Comparison by Industry
Model performance on different sections of the economy.
Legal
75.63%
vs.79.61%
Finance
72.40%
vs.66.23%
Academic
76.72%
vs.78.35%
Coding
67.45%
vs.42.06%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
Input Cost/ 1M Tokens
$0.60
vs.$0.60
Input Cache Read/ 1M Tokens
$0.11
vs.$0.11
Output Cost/ 1M Tokens
$2.20
vs.$2.20
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | zAI | zAI |
| Latency | N/A | N/A |
| Cost (In/Out) | $0.6 / $2.2 | $0.6 / $2.2 |
| Context Window | 128k | 200k |
| Max Output Token | 82k | 123k |
| Input Modality |