Model detail
GLM-4V
A GLM vision-language model for interpreting images and answering questions about visual content in text.
Model specs
- Model ID
-
glm-4v
- Context length
- 2K
- Max output
- –
- I/O modalities
- Released
- 2025-04
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$7.1429 /1M Tokens
Completion
$7.1429 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
A GLM vision-language model for interpreting images
A GLM vision-language model for interpreting images and answering questions about visual content in text.
What should you check before using it?
2,000 context tokens
Model type: text. Verify supported features and quotas with the provider documentation.
Why use it through MixRoute?
GLM-4V takes text and images on one route
Text and image inputs share the same route and the same key. MixRoute serves GLM-4V on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID glm-4v and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Streaming
GLM-4V supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Vision input
GLM-4V can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call GLM-4V through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
This model has no cache-read price; caching is not counted
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FAQ
The current GLM-4V listing publishes no cache-read rate, so cached-prefix billing is not part of its pricing. Treat repeated prefixes as fresh input when you size the workload, and confirm with the provider before designing for a cache saving.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.