Model Catalog

ai& currently serves the open-weight models below. The list is dynamic — each organization sees only what it has access to, so the source of truth is always GET /v1/models.

Quick picks

Best price-to-performance

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Multimodal

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Largest context

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Available models

Model ID	Capabilities	Context	Input / 1M	Output / 1M
Loading the current models…

Sorted by output price, low to high. Prices are USD per million tokens — see Pricing for how the formula computes a per-request cost.

To have ai& pick one of these per request instead of choosing yourself, see Automatic Selection.

Capability values

Capability	Meaning
`reasoning`	Emits internal reasoning tokens (charged as output) and accepts `reasoning_effort`. The values it takes are listed in that model’s `reasoning_efforts`, since models don’t share one vocabulary. Reasoning can be turned off only if its levels include `none`.
`tool_calling`	Accepts `tools` / `tool_choice`. See Tool Calling.
`vision`	Accepts image inputs (`image_url` or `file_id`). See Vision.
`video`	Accepts video inputs by `file_id`. See Video Understanding.
`document`	Accepts PDF / document inputs.

A capability absent from the list means requests using that feature will be rejected at validation time.

Listing your models programmatically

curl https://api.aiand.com/v1/models

from openai import OpenAI

client = OpenAI(base_url="https://api.aiand.com/v1", api_key="sk-...")
for m in client.models.list().data:
    print(m.id, m.context_window, m.capabilities)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.aiand.com/v1", apiKey: "sk-..." });
const { data } = await client.models.list();
for (const m of data) console.log(m.id, m.context_window, m.capabilities);

aiand models
aiand models --capability vision --sort output

Prices are per 1M tokens in your billing currency. See ai& CLI.

Response shape (OpenAI surface)

{
  "object": "list",
  "data": [
    {
      "id": "google/gemma-4-31b-it",
      "name": "google/gemma-4-31b-it",
      "object": "model",
      "created": 1775474514,
      "owned_by": "ai&",
      "provider": "google",
      "context_window": 262144,
      "max_output_tokens": 32768,
      "capabilities": [
        "reasoning",
        "tool_calling",
        "vision",
        "video",
        "document"
      ],
      "reasoning_efforts": [
        "none",
        "high"
      ],
      "reasoning_effort_default": "none",
      "description": "Largest Gemma 4 instruction model for open, self-hosted chat and reasoning",
      "currency": "usd",
      "input_per_1m": "0.200000",
      "output_per_1m": "0.500000",
      "cached_input_per_1m": "0.050000",
      "deprecation_date": null
    }
  ]
}

Field	Type	Meaning
`id`	string	The value to pass as `"model"` in chat / responses / messages.
`provider`	string	The lab that released the open weights (`openai`, `google`, `qwen`, …). All models are hosted on ai& infrastructure regardless of provider.
`context_window`	int	Max combined input + output tokens.
`max_output_tokens`	int \| null	Recorded maximum generation length. `null` when no limit is recorded for the model. The list does not fill in a guess.
`capabilities`	string[]	Supported features — see the table above.
`reasoning_efforts`	string[] \| null	The `reasoning_effort` values this model runs. Another known level runs at the next listed level up, or the highest, which can cost more than the level you sent; `X-Reasoning-Effort` reports the one applied. A model can turn reasoning off only if its levels include `none`, and a value outside the effort vocabulary is a 400. `null` only on models without the `reasoning` capability.
`reasoning_effort_default`	string \| null	The level to default a UI to for this model. Not applied server-side — omitting `reasoning_effort` leaves the upstream’s own default in place.
`currency`	string	Your organization’s billing currency (`usd` or `jpy`), set at org creation. `usd` when called without an API key.
`input_per_1m`	string	Price per 1 million input tokens, in your billing currency. Numeric stored as a string for precision.
`output_per_1m`	string	Price per 1 million output tokens, in your billing currency.
`deprecation_date`	string \| null	When the model stops serving requests, as an ISO 8601 timestamp. `null` when no retirement is scheduled.

Anthropic surface

GET /v1/models with an anthropic-version header returns the Anthropic shape — data[].display_name, created_at, has_more, first_id, last_id. Pricing and capabilities are only on the OpenAI surface.