Model comparison
GLM 4.5V vs GLM 4.6
Price history, scores and specs for both models, line by line. Every value shows where it came from and when we last confirmed it.
Z Ai
GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications.
Z Ai
GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model.
Quick take
Where each one leads
- GLM 4.6 costs less to send text to: $0.500 per million tokens, against $0.600 per million tokens for GLM 4.5V.
- GLM 4.5V costs less per word it writes: $1.80 per million tokens, against $2.00 per million tokens for GLM 4.6.
- GLM 4.6 reads more at once: 204,800 tokens, against 65,536 tokens.
- GLM 4.6 scores higher on the Artificial Analysis Intelligence Index: 18.5 to 7.6.
- More people run GLM 4.6 through OpenRouter than GLM 4.5V right now.
Each line comes from a checked value in the tables below. Pick on your workload: price and usage matter for high volume, context and scores for long documents and agent loops.
Price history
Prices side by side, day by day
- GLM 4.5V
- GLM 4.6
- GLM 4.5V
- GLM 4.6
Prices are the listed OpenRouter base rates in US dollars. A day we could not confirm is left out of the line, never filled in.
Price
What each one costs now
| Measure | GLM 4.5V | GLM 4.6 |
|---|---|---|
| Input price | $0.600 per million tokens | $0.500 per million tokens Leads |
| Output price | $1.80 per million tokens Leads | $2.00 per million tokens |
Scores
Benchmarks, with source and date
| Measure | GLM 4.5V | GLM 4.6 |
|---|---|---|
| Artificial Analysis Intelligence Index | 7.6 | 18.5 Leads |
| Artificial Analysis Coding Index | Not checked yet | 45.8 |
| LMArena text rating (Elo) | 1,333 | 1,440 Leads |
| LMArena web development rating (Elo) | Not checked yet | 1,342 |
| LMArena vision rating (Elo) | 1,154 | Not checked yet |
| Design Arena rating (Elo) | Not checked yet | 1,180 |
Specs
Context, modalities and tool use
| Measure | GLM 4.5V | GLM 4.6 |
|---|---|---|
| Context window | 65,536 tokens | 204,800 tokens Leads |
| Reads | Text, Images | Text |
| Writes | Text | Text |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
| Open weights | Yes | Yes |
| Listed since | 11 Aug 2025 | 30 Sept 2025 |
Usage
How much each one is used
| Measure | GLM 4.5V | GLM 4.6 |
|---|---|---|
| Tokens served on OpenRouter in a day | 16.3M (for 10 Nov 2026) | 2.3B Leads (for 10 Nov 2026) |
| Requests on OpenRouter in a day | 3.1K (for 10 Nov 2026) | 159.5K Leads (for 10 Nov 2026) |
| Tool calls on OpenRouter in a day | 199 (for 10 Nov 2026) | 35.9K Leads (for 10 Nov 2026) |
| Token usage, last 7 days | Up 429% on the week before Leads (for 10 Nov 2026) | Up 50% on the week before (for 10 Nov 2026) |
- GLM 4.5V
- GLM 4.6
How this works
One link, either order
This link stays the same whichever order you name the two models in, so you can share it as it is. A line appears only when at least one model has a value we confirmed from a source; values we have not confirmed are left out, never guessed. To add a third record of any type, use the open comparison. Read how we check facts.