Zai Glm 5
At a glance
- Price per 1M tokens (input)
- $1.40
- Price per 1M tokens (output)
- $4.40
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified September 18, 2026. Published September 18, 2026.
Zai Glm 5 by Mistral AI is designed for developers and technical teams building applications that require reliable integration with external systems through tool calling, also known as function calling. It supports step-by-step reasoning to handle multi-stage tasks such as data retrieval, API interactions, or workflow automation where intermediate decisions are needed. Mistral AI’s approach emphasizes open-weight models with strong alignment to instruction following and tool use, enabling predictable behavior in production environments. This model suits use cases like intelligent agents, automated reporting pipelines, or systems that need to coordinate between language understanding and structured actions.
Specifications & pricing
| Input (per 1M tokens) | $1.40 |
|---|---|
| Output (per 1M tokens) | $4.40 |
| Cache read (per 1M tokens) | $0.14 |
| Context window | 1,048,576 tokens |
| Max output | 131,072 tokens |
| Capabilities | tool calling, reasoning |
LiteLLM community dataset (MIT), verified September 18, 2026. Official Mistral AI pricing.
What Zai Glm 5 would cost on your workload — run it through the cost calculator →
Where to try Zai Glm 5 for free
- Mistral AI offers a free chat — Le Chat (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
Frequently asked questions
What is tool calling and why is it important for this model?+
Tool calling allows the model to invoke external functions or APIs during inference to perform actions like querying databases or sending emails. This enables the model to go beyond text generation and interact with software systems, making it suitable for building automated workflows.
How does step-by-step reasoning improve performance on complex tasks?+
Step-by-step reasoning helps the model break down multi-part problems into logical stages, improving accuracy when tasks require planning, intermediate checks, or conditional logic before reaching a final output.
How does Zai Glm 5 differ from other models in the Mistral AI lineup?+
Zai Glm 5 is specifically optimized for tool use and reasoning chains, with training focused on reliable function invocation and coherent multi-step execution, whereas other models may prioritize general language understanding or creative generation.
What are the current limitations users should be aware of?+
The model may occasionally fail to invoke the correct tool or generate invalid function calls, especially with complex or ambiguous prompts. Clear prompt engineering and validation of tool outputs are recommended for production use.
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