OpenRouter vs Z.AI: Token Pricing, Speed & Intelligence
Full comparison of OpenRouter and Z.AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
OpenRouter
One API for every major LLM — route to the cheapest or fastest provider automatically
OpenRouter is a unified LLM API that routes requests to the cheapest or fastest available provider for any given model. With a single API key you can access GPT-4o, Claude, Llama, Gemini, and hundreds of other models, with automatic fallback and cost optimisation.
Z.AI
GLM frontier models with 1M context
Z.AI (formerly Zhipu AI) develops the GLM series of large language models. GLM-5.2 supports a 1M token context window and is designed for enterprise-grade chat, coding, and long-document tasks.
Key metrics
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Live token pricing
Strengths & weaknesses
OpenRouter
Z.AI
Key differentiators
The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.
GLM-5.2 offers a 1M token context window at $1.11/1M input tokens, making it one of the most cost-effective long-context models available.
Frequently asked questions
OpenRouter FAQs
How does OpenRouter pricing work?
OpenRouter charges the underlying provider rate plus a small routing fee (typically a few percent). For many models, the effective price is very close to or equal to the direct provider rate. Some models are available for free with rate limits.
What models are available on OpenRouter?
OpenRouter provides access to 200+ models including GPT-4o, Claude 3.5 Sonnet, Llama 3.3 70B, Gemini 1.5 Pro, DeepSeek R1, Mistral, and many others. The catalog is updated as new models are released.
Can I use OpenRouter with the OpenAI SDK?
Yes. OpenRouter is fully OpenAI-compatible. Point the OpenAI SDK at the OpenRouter endpoint and use your OpenRouter API key — no other code changes needed.
Z.AI FAQs
What is GLM-5.2?
GLM-5.2 is the latest model in Zhipu AI's GLM series, supporting a 1M token context window. It is designed for long-document analysis, coding, and enterprise chat applications.
How does Z.AI compare to other Chinese LLM providers?
Z.AI's GLM models compete with Alibaba's Qwen and Baidu's ERNIE series. GLM-5.2 stands out for its 1M context window and competitive pricing.
Provider resources
OpenRouter — One API for every major LLM — route to the cheapest or fastest provider automatically
OpenRouter is a unified LLM API that routes requests to the cheapest or fastest available provider for any given model. With a single API key you can access GPT-4o, Claude, Llama, Gemini, and hundreds of other models, with automatic fallback and cost optimisation.
The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.
Z.AI — GLM frontier models with 1M context
Z.AI (formerly Zhipu AI) develops the GLM series of large language models. GLM-5.2 supports a 1M token context window and is designed for enterprise-grade chat, coding, and long-document tasks.
GLM-5.2 offers a 1M token context window at $1.11/1M input tokens, making it one of the most cost-effective long-context models available.
Key strengths compared
OpenRouter
- ▸Single API for 200+ models across all major providers
- ▸Automatic routing to cheapest or fastest provider
- ▸Fallback and load balancing built in
Z.AI
- ▸1M token context window
- ▸Strong Chinese and English bilingual performance
- ▸Enterprise-grade reliability
Provider category context
OpenRouter is a inference api, founded in 2023. Z.AI is a frontier lab, founded in 2019. OpenRouter as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Z.AI as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose OpenRouter if you need single api for 200+ models across all major providers. Choose Z.AI if you need 1m token context window. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.