Large language models and APIs.
Chat, reasoning, coding and vision LLMs from partner providers and open-weight families, served behind one API key and one request format.
How to pick a large language model
Every LLM here uses the same API key and the same billing, so switching models is a one-line change. Pick by the job: hard reasoning and code, fast high-volume work, or open-weight models.
Hardest tasks
GPT-6.1 Sol, Claude Opus 5.5 and Grok 4.20 are the flagships for coding, long documents and agents. Claude Opus 5.5 reads images and PDFs, and Grok 4.20 has a 2M token context window.
Fast, high-volume work
Gemini 3.5 Flash-Lite is built for high-volume extraction and classification. DeepSeek V4 Flash is a fast model with a 1M token context, and GPT-6 Luna is OpenAI’s efficient option for chat at scale.
Coding
Claude Sonnet 5 and DeepSeek V4 Pro are good at code and long technical documents. DeepSeek V4 Pro takes inputs of up to 1M tokens.
Open-weight models
Wiro also runs open models such as Qwen 3.8 27B, GPT-OSS 20B and Llama 3.2 3B. Qwen 3.8 27B can show its thinking in the output.
Fewer refusals
Qwen 3.8 27B Uncensored and Seed v2.1 Turbo Uncensored are tuned to refuse less, for research and creative work that standard models turn down.
Frequently asked questions
Can I use the OpenAI or Anthropic SDK?
Yes, for models that support tool calling. Point an OpenAI-compatible client at https://llm.wiro.ai/v1, or an Anthropic client at https://llm.wiro.ai, and use the model ID in owner/model form. The LLM gateway docs list the endpoints.
How are LLMs priced?
Partner models report the token cost of each request, and that amount comes out of your credits. Each model page shows how that model is billed.
Can these models read images and PDFs?
Many can. Claude Opus 5.5, Claude Sonnet 5 and Gemini 3.8 Flash read images and PDFs, and most of the GPT and Grok models here accept images.
Can I stream the answer?
Yes. With the Run API the output arrives over a WebSocket while the model writes it. See LLM chat streaming.



















