GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air also supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs(opens in new tab)
Modalities
In / Out Price
$0.13 / $0.85per 1M
Context
131K
Released
Jul 25, 2025
Knowledge Cutoff
Dec 2024
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
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.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
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-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air also supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction.
GLM 4.5 Air costs $0.13/M input tokens and $0.85/M output tokens, with separate rates for Cache Read at $0.025/M tokens.
GLM 4.5 Air has a 131,072 token context window. It supports up to 98,304 completion tokens.
Yes. GLM 4.5 Air accepts tools and tool_choice for function calling. It does not support response_format, so JSON output is not enforced.
GLM 4.5 Air is served by 3 providers on OpenRouter: NovitaAI, SiliconFlow and Z.ai. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
GLM 4.5 Air was released on July 25, 2025. Its knowledge cutoff is December 31, 2024.
| $0.13 | $0.85 | $0.025 | 0.86s | 34 tps | ||
| $0.14 | $0.86 | -- | 1.54s | 16 tps | ||
| $0.20 | $1.10 | $0.03 | 2.07s | 27 tps |
Throughput
34tok/s
P50, best across providers
Latency
0.86s
P50, best provider
100.00%
99.91%
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.