glm-5.3Zhipu GLM-5.3 — Z.ai's newest reasoning model, built for long-horizon agent work and complex software engineering, with a 1M-token context window and improved coding and token efficiency over GLM-5.2. Served via the OpenAI-compatible chat-completions endpoint. Supports prompt caching, with cache hits billed at $0.247 / 1M input tokens.
Built for multi-step agent workflows
Fits entire codebases in one request
Reliable function calling for agents
Cache hits billed at $0.247 / 1M input
View complete API reference with all parameters and examples.
View complete API reference with streaming, thinking, and more.
Billing: Cost = (input_tokens * input_price + output_tokens * output_price) / 1,000,000
GLM-5.3 is a Large Language Model API provided by Zhipu. Zhipu GLM-5.3 — Z.ai's newest reasoning model, built for long-horizon agent work and complex software engineering, with a 1M-token context window and improved coding and token efficiency over GLM-5.2. Served via the OpenAI-compatible chat-completions endpoint. Supports prompt caching, with cache hits billed at $0.247 / 1M input tokens. Through APIMODELS platform, you can access this model via a unified API with transparent pay-as-you-go pricing. Current pricing: Input: $1.33, Output: $4.18 per 1M tokens.
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GLM-5.3 is available through APIMODELS at: Input: $1.33, Output: $4.18 per 1M tokens. Billing is pay-as-you-go — you only pay for what you generate.
Sign up at APIMODELS, get your API key, and call our unified API endpoint. We provide detailed API documentation with code examples in cURL, Python, and Node.js.
APIMODELS offers the same GLM-5.3 model through our aggregation platform. We provide a unified API interface so you do not need separate accounts for each provider - one API key to access all models.
GLM-5.3 is Z.ai's August 2026 reasoning model. Against 5.2 it improves mainly on coding and token efficiency, and it is aimed at long-horizon agent work and complex software engineering, with a 1M-token context window. The choice is simple: **take 5.3 for multi-step agents and codebase-wide work; take 5.2 when the job is short and cost matters most**. On APIMODELS 5.2 is $0.9 / $3.15 and 5.3 is $1.33 / $4.18. Same endpoint — switching is a one-field change.
$1.33 per 1M input tokens and $4.18 per 1M output, with cached input at $0.247. Z.ai official is $1.40 / $4.40 / $0.26 — so **all three tiers are 5% below official**. Pay-as-you-go, no minimum top-up, no subscription, and failed requests are never billed. The full 1M-token context bills at the same rates with no long-context surcharge.
POST https://api.apimodels.app/v1/chat/completions with Authorization: Bearer YOUR_API_KEY and body {"model":"glm-5.3","messages":[{"role":"user","content":"..."}]}. Plain OpenAI shape, so pointing openai-python or openai-node at base_url=https://api.apimodels.app/v1 works as-is, and so do Cursor, Cline and Codex. Add stream:true for streaming. /v1/responses works too — we bridge it to chat-completions at the gateway.
Both, and we measured them on our own channel rather than repeating the upstream spec sheet: a nested schema with an enum and a required field came back as a standard tool_calls structure with clean, parseable argument JSON, and a streaming request delivered 22 SSE frames with normal incremental output. We run these two checks on every channel we add — a channel that fails them does not get listed.
The context window is 1M tokens. The lever on cost is prompt caching: a repeated prefix — system prompt, codebase context, conversation history — bills at $0.247 instead of $1.33 once it hits cache, a 5.4x difference. Agent workloads repeat heavily by nature; on the sibling model we measure an 84% cache-hit rate in production, so real bills land far below a naive full-price estimate.
No Z.ai account, no enterprise verification, no VPN — the endpoint is directly reachable from mainland China. One APIMODELS key also reaches Claude, Gemini, GPT, Grok and every other model on the platform, drawing on a single balance. For most teams that is the actual reason to aggregate: not the 5%, but not having to run five vendor accounts and five invoices.
On APIMODELS, GLM-5.3 runs alongside 60+ models on one API key and one balance, so choosing is about fit, not lock-in. It supports Reasoning, Tool Calling, 1M Context, OpenAI-compatible, Prompt Cache, and you can weigh it on price and capability against other Large Language Model models, then switch by changing a single model-name string — no new account or integration. Browse every Large Language Model option with live pricing at apimodels.app/models.
GLM-5.3 supports: Reasoning, Tool Calling, 1M Context, OpenAI-compatible, Prompt Cache. See the APIMODELS docs for full parameters and call examples.
Yes. APIMODELS exposes GLM-5.3 through a single unified API and one key — no separate provider accounts, and no need to handle each provider's regional network access yourself.
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