GLM 5.2

z-ai/glm-5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

Get an API key

Endpoints

Each row is one provider serving these weights at one precision. Prices are per million tokens.

Quantisation	Context	Max out	Input	Output	Cached in
FP8	1024K	128K	$1.20	$3.60	$0.24

Agent config

Paste this into your coding agent and it can configure itself. The timeout is derived from this variant's measured throughput, not a guess — a long generation that outlives a client's default ceiling is the most common way a working request looks broken.

# Infersia — z-ai/glm-5.2
# Paste this to your agent. Values are measured, not aspirational.

provider:
  type: openai-compatible
  base_url: https://api.infersia.com/v1
  api_key: ${INFERSIA_API_KEY}   # from https://infersia.com/dashboard/keys
  model: z-ai/glm-5.2

limits:
  max_input_tokens: 1048576      # hard limit — over this returns HTTP 413
  max_output_tokens: 131072
  timeout_seconds: 600                  # no throughput measured yet; 600 is a safe default

features:
  streaming: true
  tools: true
  vision: false
  reasoning: true   # OFF by default; send chat_template_kwargs.enable_thinking=true to opt in
  prompt_caching: false

pricing_usd_per_million_tokens:
  input: 1.2
  output: 3.6
  cached_input: 0.24

What FP8 means

8-bit floating point. Near-lossless against FP16.

Call it

curlbash

curl https://api.infersia.com/v1/chat/completions \
  -H "Authorization: Bearer $INFERSIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5.2",
    "messages": [{"role": "user", "content": "Hello"}],
    "stream": true
  }'

Pin a provider with z-ai/glm-5.2@infersia, or take the cheapest with the bare id. Add :free for the rate-limited free tier where one exists.