Z.ai: GLM 5.3
Z.ai: GLM 5.3
z-ai/glm-5.3
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GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.
Reasoning is always on and cannot be disabled. Reasoning efforts `low`, `high`, and `max` are supported; `max` is the default.
Modalities
In / Out Price
$1.40 / $4.40per 1M
Context
1M
Released
Aug 18, 2026
About Z.ai: GLM 5.3
OpenRouter makes Z.ai: GLM 5.3 available through a unified, OpenAI-compatible API using the model ID z-ai/glm-5.3. It is served by Z.ai.
Z.ai: GLM 5.3 accepts text and returns text. It has a 1,048,576-token context window and a maximum output of 131,072 tokens.
On OpenRouter, Z.ai: GLM 5.3 costs $1.40/M input tokens and $4.40/M output tokens, with separate rates for Cache Read at $0.26/M tokens. Effective pricing can be lower when prompt caching applies. It was released on August 18, 2026.
More models from Z.ai
Frequently asked questions
What is GLM 5.3?
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.
How much does GLM 5.3 cost?
GLM 5.3 costs $1.40/M input tokens and $4.40/M output tokens, with separate rates for Cache Read at $0.26/M tokens.
What is the context length of GLM 5.3?
GLM 5.3 has a 1,048,576 token context window. It supports up to 131,072 completion tokens.
Does GLM 5.3 support tool calling and structured outputs?
Yes. GLM 5.3 accepts `tools` and `tool_choice` for function calling. It supports `response_format` for JSON output, without JSON-schema enforcement.
What other text models does Z.ai have?
GLM 5.2, GLM 5.1, GLM 5V Turbo and 9 more are other text models from Z.ai.
When was GLM 5.3 released?
GLM 5.3 was released on August 18, 2026.
Providers
Providers
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
Quick Start
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Latency / throughputP50
| Z.ai | $1.40 | $4.40 | $0.26 | 5.84s | 26 tps | 100.00% |
| ---------------------------------------------------------------------------------------------------------------------------------------------------- | ----- | ----- | ----- | ----- | ------ | ------- |
Throughput
26tok/s
P50, best across providers
Latency
5.84s
P50, best provider
All locations
3 days
Uptime (3d)
99.91%
Availability (3d)
99.65%
Availability over the last 3 days
Last 72 hours
Availability 99.65%
3 Days Ago2 Days AgoYesterdayNow
Availability over the last 24 hours
OpenRouter Availability
99.65%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.
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