Capabilities - Infery.ai

Each model declares capabilities as boolean flags. You can read them via GET /v1/models/{slug} to branch feature-by-feature in your app.

Capability	Meaning
`supportsChat`	Accepts chat completions format
`supportsStreaming`	Can stream tokens via SSE
`supportsVision`	Accepts image inputs
`supportsPdf`	Accepts PDF natively (otherwise gateway auto-converts)
`supportsTools`	Honours `tools` array + `tool_choice`
`supportsJsonMode`	`response_format: {type: "json_object"}` or JSON schema
`supportsImages`	Generates images as output (different from Vision)
`isReasoning`	Chain-of-thought reasoning model (slower but more accurate on complex tasks)
`isFlagship`	Provider’s top-of-line model (highest quality + cost)

Provider-by-provider highlights

OpenAI

gpt-5-4 — flagship, all capabilities
gpt-4o — vision ✓, tools ✓, JSON ✓, streaming ✓
o3 / o1 — reasoning ✓ (no streaming tokens — final result only)
gpt-4o-audio — audio input natively in chat

Anthropic

claude-opus-4-7 — flagship, vision ✓, PDF ✓, tools ✓
claude-opus-4-6 — vision ✓, PDF ✓, tools ✓
claude-sonnet-4-6 — same with better cost/perf
Audio input — not supported; use /v1/audio/transcriptions first

Google

gemini-2-5-pro — vision ✓, PDF ✓, 2M context window
gemini-2-5-flash — fast, huge context, multimodal
gemini-2-0-flash — budget option

xAI

grok-3 — vision ✓, JSON ✓

Alibaba

qwen3-max — vision + PDF + long context (262k)
qwen3-5-plus — 1M context
qwen-vl-max — vision-specialised

PDF fallback

If a model without supportsPdf receives a PDF, our gateway:

Extracts text via pdftotext
Renders pages to PNG (for vision models)
Injects text + images into the message
Bills a small pdf_extraction_per_page fee

You don’t lift a finger — works on Grok, DeepSeek, older models. The response behaves as if the model read the PDF natively.

Model catalog Choosing a model