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
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
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.
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 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.
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.
Token volume and request traffic to this model over time.
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.
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.
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.
GLM 5.3 has a 1,048,576 token context window. It supports up to 131,072 completion tokens.
Yes. GLM 5.3 accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.
GLM 5.2, GLM 5.1, GLM 5V Turbo and 9 more are other text models from Z.ai.
GLM 5.3 was released on August 18, 2026.
| $1.40 | $4.40 | $0.26 | 3.65s | 32 tps |
Throughput
32tok/s
P50, best across providers
Latency
3.65s
P50, best provider
99.18%
98.99%
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.