Context
1.05M
Max output
131K
Pricing
$1.19/M in$0.26/M cached$4.40/M out
Waterfall
Supported parameters
primary routeSampling
| Status | ||||||
|---|---|---|---|---|---|---|
| Experiential Cloudexperiential | 126 tok/s | 6.34s | 98% | $1.40 | $4.40 | active |
| Azure Foundry via Experiential Cloudexperiential | 137 tok/s | 2.45s | 73.1% | $1.75 | $5.50 | active |
| Fireworks via Experiential Cloudexperiential | 89.5 tok/s | 1.18s | 91.9% | $1.40 | $4.40 | active |
| Tencent Cloud via Experiential Cloudexperiential | — | — | — | $1.40 | $4.40 | active |
| Wafer via Experiential Cloudexperiential | — | — | — | $1.19 | $4.40 | active |
| Z.ai via Experiential Cloudexperiential | — | — | — | $1.40 | $4.40 | active |
Fastest
137 tok/s
Released
Aug 2026
Tools & structure
Reasoning
Streaming
Limits
not supported on every route; the gateway adapts or drops it (with a warning) on stricter providers.
Shown for the primary route; fallback routes may differ. Sending an unsupported field? See error reference.
Azure OpenAI docsQuickstart
I want you to route my LLM calls for "glm-5.3" through the Experiential gateway instead of calling the provider directly. It speaks the OpenAI Chat Completions API, so this is a base-URL and key swap. Please: 1. Point the client at https://api.experientiallabs.ai/v1 as the base URL. 2. Authenticate with my Experiential API key from the EXPLABS_API_KEY environment variable. If it isn't set, stop and tell me to create one under Settings -> API Keys and export it. 3. Use the model id "glm-5.3" exactly. 4. Update every place my code builds an LLM client for this model to use that base URL and key, leaving streaming and tool-calls as they are. 5. Make one test call and show me the reply plus the token usage, so we confirm it runs on my Experiential credits. Tell me which files you changed.
Set EXPLABS_API_KEY to an organization API key before running your agent.
Benchmarks
Release notes