# Model Catalog
Source: https://staging-docs.aiand.com/models/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
`qwen/qwen3.6-27b` — no charges, ideal for evals.
`deepseek-ai/deepseek-v4-flash` at $0.15 / $0.25 per 1M tokens with a 1M context window.
`google/gemma-4-31b-it` for image + video, `moonshotai/kimi-k2.7-code` for image + document.
`deepseek-ai/deepseek-v4-flash`, `deepseek-ai/deepseek-v4-pro`, and `zai-org/glm-5.2` — 1M
tokens.
## Available models
| Model ID | Capabilities | Context | Input / 1M | Output / 1M |
| ------------------------------- | -------------------------------------------------------- | ------- | ---------: | ----------: |
| `qwen/qwen3.6-27b` | reasoning, tool_calling | 262K | Free | Free |
| `deepseek-ai/deepseek-v4-flash` | reasoning, tool_calling | 1M | $0.15 | $0.25 |
| `google/gemma-4-31b-it` | reasoning, tool_calling, **vision**, **video**, document | 262K | $0.20 | $0.50 |
| `openai/gpt-oss-120b` | reasoning, tool_calling | 131K | $0.15 | $0.60 |
| `deepseek-ai/deepseek-v4-pro` | reasoning, tool_calling | 1M | $1.00 | $2.50 |
| `moonshotai/kimi-k2.7-code` | reasoning, tool_calling, **vision**, document | 262K | $0.75 | $3.50 |
| `moonshotai/kimi-k2.6` | reasoning, tool_calling, **vision**, document | 262K | $0.85 | $3.50 |
| `zai-org/glm-5.2` | reasoning, tool_calling | 1M | $1.00 | $4.00 |
| `zai-org/glm-5.1` | reasoning, tool_calling | 203K | $1.40 | $4.40 |
Sorted by output price, low to high. Prices are USD per million tokens — see [Pricing](/models/pricing/) for how the formula computes a per-request cost.
## 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. |
| `tool_calling` | Accepts `tools` / `tool_choice`. See [Tool Calling](/capabilities/tool-calling/). |
| `vision` | Accepts image inputs (`image_url` or `file_id`). See [Vision](/capabilities/vision/). |
| `video` | Accepts video inputs by `file_id`. See [Video Understanding](/capabilities/video/). |
| `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
```bash
curl https://api.aiand.com/v1/models \
-H "Authorization: Bearer sk-your-api-key"
```
```python
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)
```
```ts
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);
```
## Response shape (OpenAI surface)
```json
{
"object": "list",
"data": [
{
"id": "openai/gpt-oss-120b",
"object": "model",
"name": "openai/gpt-oss-120b",
"owned_by": "ai&",
"provider": "openai",
"context_window": 131072,
"capabilities": ["reasoning", "tool_calling"],
"reasoning_efforts": ["low", "medium", "high"],
"reasoning_effort_default": "medium",
"description": "OpenAI GPT OSS 120B",
"currency": "usd",
"input_per_1m": "0.150000",
"output_per_1m": "0.600000",
"created": 1775474514
}
]
}
```
| 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. |
| `capabilities` | string[] | Supported features — see the table above. |
| `reasoning_efforts` | string[] \| null | The `reasoning_effort` values this model accepts; any other value is rejected with a 400. `null` on models that take no effort parameter. |
| `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. |
| `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. |
## 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.