Z.AI
GLM-5.3 frontier model with 1M context — available on Amazon Bedrock
Z.AI (formerly Zhipu AI) develops the GLM series of large language models. GLM-5.3 is the latest generation, supporting a 1M token context window and designed for enterprise-grade chat, coding, and long-document tasks. GLM-5.3 is now available on Amazon Bedrock, expanding its reach to AWS enterprise customers.
GLM-5.3 offers a 1M token context window at competitive pricing, now available on Amazon Bedrock — making it accessible to AWS enterprise customers without additional API integrations.
- 1M token context window on GLM-5.3
- Available on Amazon Bedrock for AWS enterprise customers
- Strong Chinese and English bilingual performance
- Enterprise-grade reliability
- Competitive pricing for long-context workloads
- Smaller international developer community
- Fewer third-party integrations than OpenAI
Z.AI Models
| Model | Modality | Tier | Price | Cached /1M | TTFT | Throughput | Context | Intel. | Caps | |
|---|---|---|---|---|---|---|---|---|---|---|
glm-4.5-air GLM-4 | Chat | budget | $0.04/ $0.12 in / out per 1M EST Jul 2026 | — | 280ms | 155 t/s | 131K | 65 | ||
glm-4.7 GLM-4 | Chat | efficient | $0.06/ $0.18 in / out per 1M EST Jul 2026 | — | 350ms | 121 t/s | 131K | 70 | ||
glm-z1-flash GLM-Z1 | Chat | budget | $0.07/ $0.21 in / out per 1M EST Jul 2026 | — | 220ms | 200 t/s | 131K | 68 | ||
glm-z1-air GLM-Z1 | Chat | efficient | $0.14/ $0.42 in / out per 1M EST Jul 2026 | — | 310ms | 140 t/s | 131K | 72 | ||
glm-z1-plus GLM-Z1 | Chat | advanced | $0.46/ $1.38 in / out per 1M EST Jul 2026 | — | 450ms | 90 t/s | 131K | 77 | ||
glm-5 GLM-5 | Chat | advanced | $0.60/ $1.80 in / out per 1M EST Jul 2026 | — | 420ms | 95 t/s | 131K | 76 | ||
glm-5.1 GLM-5 | Chat | advanced | $0.97/ $2.90 in / out per 1M EST Jul 2026 | — | 480ms | 57 t/s | 200K | 78 | ||
glm-5.2 GLM-5 | Chat | advanced | $1.11/ $3.33 in / out per 1M EST Jul 2026 | — | 390ms | 176 t/s | 1.0M | 80 | ||
glm-5.3 GLM-5 | Chat | frontier | $1.40/ $4.20 in / out per 1M EST Aug 2026 | $0.70 | 360ms | 210 t/s | 1.0M | 83 |
Z.AI — Frequently Asked Questions (FAQs)
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Full comparison tableZ.AI LLM pricing overview
Z.AI is a proprietary AI lab that develops and hosts its own large language models. Z.AI (formerly Zhipu AI) develops the GLM series of large language models. GLM-5.3 is the latest generation, supporting a 1M token context window and designed for enterprise-grade chat, coding, and long-document tasks. GLM-5.3 is now available on Amazon Bedrock, expanding its reach to AWS enterprise customers. Common use cases include Chat, Coding, Long-document analysis, Enterprise AI. Headquartered in Beijing, China, founded 2019. All models are accessible via a REST API compatible with standard OpenAI-style request formats, enabling drop-in integration with most LLM frameworks and orchestration tools.
Z.AI vs other LLM providers
Z.AI competes with OpenAI, Anthropic, Google, Groq, Together AI, Mistral, Cohere, and other inference API providers across dimensions of price, throughput, latency, context window, and model intelligence. GLM-5.3 offers a 1M token context window at competitive pricing, now available on Amazon Bedrock — making it accessible to AWS enterprise customers without additional API integrations. Use the LLM provider comparison tool to see Z.AI token pricing, latency, and throughput side-by-side with any other provider. The full LLM pricing table shows all providers ranked by input token cost, output token cost, and throughput in a single sortable view.
Why choose Z.AI?
Z.AI stands out because: GLM-5.3 offers a 1M token context window at competitive pricing, now available on Amazon Bedrock — making it accessible to AWS enterprise customers without additional API integrations.. The API currently offers 9 models, spanning 1 frontier, 4 advanced, 2 efficient, 2 budget tiers. For teams running high-volume inference workloads, prompt caching and batch API endpoints can reduce effective input token costs by 50–90% — check the context window cost guide for a full breakdown of caching economics.
Understanding Z.AI token pricing
Z.AI charges separately for input (prompt) and output (completion) tokens, priced per 1M tokens in USD. Output tokens are typically 3–5× more expensive than input tokens due to the compute cost of autoregressive generation. The cheapest {meta.name} input rate is currently $0.04/1M tokens. Prices shown are sourced from Z.AI's public pricing page and updated every 15 minutes. Need help estimating your spend? Read the LLM API cost calculator guide — it covers tokens, context windows, prompt caching, and batch discounts with worked examples for RAG, chat history, and document processing workloads.
Z.AI context window and model capabilities
Context window size directly affects both capability and cost — every token in the context window is charged as an input token. Z.AI's largest context window is 1.0M tokens. For RAG and document processing workloads, longer context windows enable richer retrieval but increase per-call costs proportionally. Prompt caching — where supported — stores the KV state of repeated prefixes and charges 75–90% less for cache hits, making it the most impactful cost optimization for applications with consistent system prompts or retrieved documents. See the LLM context window cost guide for a full analysis of how context length affects your API bill.
Self-hosted vs managed inference: when Z.AI makes sense
Managed inference APIs like Z.AI eliminate infrastructure overhead — no GPU provisioning, driver management, or model serving stack to maintain. The trade-off is cost at scale: a single H100 at ~$2.50/hr can serve ~500K tokens/min of Llama 3.3 70B, which at Z.AI API rates would cost significantly more per token. The break-even point depends on your request volume, latency requirements, and engineering capacity. For teams processing fewer than ~10M tokens/day, managed APIs are almost always cheaper when total cost of ownership is considered. Above that threshold, self-hosted inference on rented GPU compute typically wins on unit economics. Read the cheapest GPU cloud guide for a full break-even analysis. Historical Z.AI token price data is available in the LLM price history charts.
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