Z.ai releases GLM-5V Turbo, native multimodal model for vision-based coding
Z.ai has released GLM-5V Turbo, a native multimodal foundation model designed for vision-based coding and agent-driven tasks. The model supports image, video, and text inputs with a 202,752 token context window, priced at $1.20 per million input tokens and $4 per million output tokens.
GLM-5V-Turbo — Quick Specs
Z.ai Launches GLM-5V Turbo, Native Multimodal Foundation Model
Z.ai has released GLM-5V Turbo, a multimodal foundation model built as the company's first native multimodal agent capable of handling image, video, and text inputs simultaneously.
Model Specifications
GLM-5V Turbo features a 202,752 token context window and is positioned for vision-heavy applications including coding tasks and autonomous agent workflows. The model operates on a two-tier pricing structure: $1.20 per million input tokens and $4 per million output tokens.
The model is available through OpenRouter and other provider infrastructure, with normalized request/response handling across multiple backend providers.
Capabilities and Use Cases
According to Z.ai, the model excels at:
- Long-horizon planning and sequential task execution
- Complex coding tasks with visual context
- Vision-based agent workflows operating in a "perceive → plan → execute" loop
- Integration with autonomous agent systems for end-to-end task completion
The native multimodal architecture enables the model to process images and video frames directly without requiring separate preprocessing steps or external vision encoders.
Technical Details
GLM-5V Turbo is designed specifically for agent-driven applications. The model integrates with reasoning-enabled capabilities through OpenRouter's infrastructure, allowing developers to access step-by-step reasoning processes via the reasoning parameter and reasoning_details array in API responses.
The release date is listed as April 1, 2026, though adoption and usage data remain limited at launch.
Positioning and Competition
The model enters a competitive multimodal landscape alongside Claude 3.5 Sonnet's vision capabilities, GPT-4o's multimodal integration, and other vision-capable models from major labs. Z.ai emphasizes agent-oriented design and native video handling as differentiation points.
What This Means
GLM-5V Turbo represents Z.ai's entry into the multimodal foundation model space with explicit focus on agent-driven workflows. The $1.20/$4 pricing sits in the mid-range for multimodal models, and the 202K context window supports longer visual sequences and planning horizons. Adoption will likely depend on developer experience with agent integration and real-world performance on complex vision-coding tasks relative to established competitors.
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