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GLM 4.5 Air

zhipuzhipu/glm-4.5-air

Cost-optimised GLM chat model with siliconflow + zhipu fallback.

glm-4.5-air is the lightweight member of the GLM-4.5 family — strong reasoning and tool use at a fraction of the flagship's price. As of 2026-05, it bills at $0.15 per million input tokens and $1.20 per million output tokens on TheRouter.

TheRouter primarily routes glm-4.5-air through siliconflow-intl (priority 0) and falls back transparently to BigModel direct (zhipu-cn, priority 1) if siliconflow returns a 5xx or times out. You make a single OpenAI-compatible call; we handle the failover.

Lightweight reasoning
Reasoning, function calling, JSON mode, and prompt caching at small-model latency.
Dual-provider routing
Siliconflow primary, BigModel direct fallback — failover is silent and automatic.
Strong Chinese
Native Chinese-language performance from a model trained primarily on Chinese corpora.
OpenAI-compatible
Same `/v1/chat/completions` endpoint, same SDKs — just change the model ID.
When to use
High-volume Chinese-leaning chat workloads where cost per token matters: customer support, content rewriting, summarisation, agent orchestration.
When not to use
Pick a flagship (glm-4.7, claude-sonnet, gpt-5) for hard reasoning, complex code, or English-dominant high-stakes tasks.
Pricing: $0.15 input / $1.20 output per MTok. ~26% margin over CN cost at the locked rate.
Read the glm-4.5-air tutorial →
Context Length
131K
Max Output
66K
Input Priceper 1M tokens
$0.180/ 1M tokens
Output Priceper 1M tokens
$1.44/ 1M tokens

Modalities

text→text

Pricing Breakdown

TypeRate
Input$0.180 / 1M tokens
Output$1.44 / 1M tokens

Supported Parameters

temperaturemax_tokenstop_ptoolstool_choicestop

API Usage Examples

Use the global api.therouter.ai endpoint shown below for new integrations; the legacy China accelerated endpoint is retired.

cURL
curl https://api.therouter.ai/v1/chat/completions   -H "Content-Type: application/json"   -H "Authorization: Bearer $THE_ROUTER_API_KEY"   -d '{
    "model": "zhipu/glm-4.5-air",
    "messages": [
      {"role": "user", "content": "Summarize the key points from this input."}
    ]
  }'
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