For the complete documentation index, see llms.txt. This page is also available as Markdown.

Models

Retrieve the list of active LLM and image-generation models available in Fetch Hive

List active models

Returns all active (non-deprecated) LLM and image-generation models available in Fetch Hive as a flat JSON array. Excludes embedding-only models.

TogetherAI-hosted models — DeepSeek, Qwen, Kimi, Mistral, MiniMax, Meta Llama, and other Together-hosted models are sourced dynamically from https://api.together.ai/v1/models (filtered to type == "chat") and refreshed once per day. The list in this response reflects models that currently have active pricing on Together AI. Models that Together AI withdraws or de-prices are automatically removed on the next refresh.

GET /v1/models

Authentication

Requires a Bearer API key. See Authentication.

Response

Returns a JSON array. Each object includes:

Field
Type
Description

id

string

The model identifier used when configuring prompts, workflows, or agents via the API

name

string

Human-readable display name

slug

string

URL-friendly slug derived from the model name (e.g. gpt-4-1)

provider

string

Provider key. For TogetherAI-hosted models this resolves to the underlying model maker — e.g. deepseek, qwen, kimi, mistral, minimax, or llama — rather than togetherai

provider_name

string

Provider display name (e.g. MiniMax)

context_limit

integer

Maximum context window in tokens (0 if unknown)

model_type

string

Model category. Use llm for chat/text models and image_generation for models that generate images

is_image_generation

boolean

true when the model generates images

is_vision

boolean

Supports image inputs. This is separate from image generation; vision-capable LLMs can accept image input but do not generate images

is_reasoning

boolean

true for both OpenAI/xAI reasoning-effort models (o1, o3, GPT-5) and Anthropic extended-thinking models (Claude Sonnet/Opus)

is_tool_calling

boolean

Supports tool/function calling

is_json_schema

boolean

Supports structured JSON schema output

Filter on model_type when choosing models for a specific workflow. Use model_type: "llm" for LLM/chat selectors and model_type: "image_generation" for image-generation selectors. Do not use is_vision to identify image-generation models.

Example response

See Model Library for a full overview of supported models by provider.

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