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GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behavior can be toggled via the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)
Quality Index
12.7
312th of 442
Top 71%
Coding Index
10.8
254th of 352
Top 72%
Math Index
15.3
216th of 268
Top 81%
Price/1M
$0.90
473rd cheapest
190% above median
Top 70%
Speed
58 tok/s
Top 43%
TTFT
21.69s
Context Window
66K
271st largest
Top 80%
Input
$0.60
per 1M tokens
Output
$1.80
per 1M tokens
Blended
$0.90
per 1M tokens
Cheaper than 30% of models. Median price is $0.31/1M tokens.
Daily
$0.90
Monthly
$27.00
58
tokens/sec
Faster than 57% of models
21.69
seconds
Faster than 2% of models
21.69
seconds
Faster than 12% of models
Market Median
46 tok/s
28% faster
Median TTFT
0.42s
5089% slower
Throughput/Dollar
65
tok/s per $/1M
Speed Comparison
Context Window
66K
tokens
Larger than 20% of models
Max Output
16K
tokens
25% of context