GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture (320B total parameters, 18B active), it is suited for efficient coding, visual understanding, and long-horizon agent tasks with a 1M-token context window.
Modalities
In / Out Price
$0.37 / $1.25per 1M
Context
1.0M
Released
Sep 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.
| $0.37 | $1.25 | $0.075 | 2.25s | 79 tps |
Throughput
79tok/s
P50, best across providers
Latency
2.25s
P50, best provider
99.28%
99.20%
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.
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture (320B total parameters, 18B active), it is suited for efficient coding, visual understanding, and long-horizon agent tasks with a 1M-token context window.
GLM 5.3 FlashX costs $0.37/M input tokens and $1.25/M output tokens, with separate rates for Cache Read at $0.075/M tokens.
GLM 5.3 FlashX has a 1,048,576 token context window. It supports up to 131,072 completion tokens.
Yes. GLM 5.3 FlashX accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.
GLM 5.3 FlashX accepts text, images, and video as input and returns text.
GLM 5.3 Flash, GLM 5.3, GLM 5.2 and 11 more are other text models from Z.ai.
GLM 5.3 FlashX was released on September 18, 2026.