Context
no data
Max output
no data
Price per million tokens
$0.15in$1.20out
Waterfall
Sampling
Tools & structure
Streaming
Fastest
29 tok/s
Released
-
Quickstart
I want you to route my LLM calls for "qwen3-next-80b-a3b-instruct" 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 "qwen3-next-80b-a3b-instruct" 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.
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| Benchmark | Score | Source |
|---|---|---|
| MMLUpaper · Aug 2026 | 89.3% | paper · Aug 2026 |
| MMLU-ProHugging Face · Aug 2026 | 80.6% | Hugging Face · Aug 2026 |
| GPQA DiamondHugging Face · Aug 2026 | 72.9% | Hugging Face · Aug 2026 |
| SWE-bench Verifiedpaper · Aug 2026 | 33.6% | paper · Aug 2026 |
| LiveBenchHugging Face · Aug 2026 | 75.8% | Hugging Face · Aug 2026 |
| AIME 2025Hugging Face · Aug 2026 | 69.5% | Hugging Face · Aug 2026 |
| Humanity's Last Exampaper · Aug 2026 | 8.0% | paper · Aug 2026 |
| MATH-500paper · Aug 2026 | 98.0% | paper · Aug 2026 |
| IFEvalHugging Face · Aug 2026 | 87.6% | Hugging Face · Aug 2026 |
| LMArena EloLMArena · Aug 2026 | 1419 | LMArena · Aug 2026 |
| Terminal-Benchpaper · Aug 2026 | 13.5 | paper · Aug 2026 |