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 totype == "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/modelsAuthentication
Requires a Bearer API key. See Authentication.
Response
Returns a JSON array. Each object includes:
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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