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Models & Aliases

llmist supports multiple LLM providers with convenient aliases for quick access.

Model Aliases

Section titled “Model Aliases”

Use short aliases instead of full model names:

Alias Full Model Name Provider
gpt5 openai:gpt-5.2 OpenAI
gpt5.2 openai:gpt-5.2 OpenAI
gpt5.1 openai:gpt-5.1 OpenAI
gpt5-mini openai:gpt-5-mini OpenAI
gpt5-nano openai:gpt-5-nano OpenAI
gpt5-codex openai:gpt-5-codex OpenAI
gpt4o openai:gpt-4o OpenAI
gpt4o-mini openai:gpt-4o-mini OpenAI
gpt4 openai:gpt-4o OpenAI
o1 openai:o1 OpenAI
o3 openai:o3 OpenAI
o4-mini openai:o4-mini OpenAI
sonnet anthropic:claude-sonnet-4-5 Anthropic
opus anthropic:claude-opus-4-5 Anthropic
haiku anthropic:claude-haiku-4-5 Anthropic
flash gemini:gemini-2.5-flash Google
flash-lite gemini:gemini-2.5-flash-lite Google
pro gemini:gemini-3-pro-preview Google

Provider-Prefixed Models

Section titled “Provider-Prefixed Models”

For explicit provider selection, use the provider:model format:

Terminal window
    # Explicit provider selection
    npx @llmist/cli complete "Hello" --model openai:gpt-5
    npx @llmist/cli complete "Hello" --model anthropic:claude-sonnet-4-5
    npx @llmist/cli complete "Hello" --model gemini:gemini-2.5-flash
    npx @llmist/cli complete "Hello" --model huggingface:meta-llama/Llama-3.1-8B-Instruct

Model Capabilities

Section titled “Model Capabilities”
Model Vision Streaming Tool Use Reasoning Context
GPT-5 ✓ ✓ ✓ ✓ 128K
GPT-5 Mini ✓ ✓ ✓ ✗ 128K
GPT-4o ✓ ✓ ✓ ✗ 128K
o3 ✗ ✓ ✓ ✓ 200K
o4-mini ✗ ✓ ✓ ✓ 200K
Claude Opus 4.5 ✓ ✓ ✓ ✓ 200K
Claude Sonnet 4.5 ✓ ✓ ✓ ✓ 200K
Claude Haiku 4.5 ✓ ✓ ✓ ✓ 200K
Gemini Flash ✓ ✓ ✓ ✓ 1M
Gemini Pro ✓ ✓ ✓ ✓ 1M
DeepSeek V3.2 ✗ ✓ ✓ ✗ 64K
DeepSeek R1 ✗ ✓ ✓ ✗ 64K
Llama 3.3 70B ✗ ✓ ✗ ✗ 128K
Qwen 2.5 72B ✗ ✓ ✗ ✗ 128K
Mixtral 8x7B ✗ ✓ ✗ ✗ 32K
Section titled “Recommended Models by Use Case”
Use Case Recommended Why
General tasks sonnet Best balance of quality and speed
Complex reasoning opus, o3, DeepSeek R1 Highest capability; use .withReasoning("high") for o3/Claude
High-volume tasks haiku, flash Fast and cost-effective
Long documents flash, pro 1M token context
Coding sonnet, gpt5, DeepSeek V3.2 Strong code understanding
Vision tasks gpt4o, flash Excellent image analysis
Open-source/self-hosted Llama 3.3 70B, Qwen 2.5 72B Free via HuggingFace

HuggingFace Models

Section titled “HuggingFace Models”

llmist supports popular open-source models via HuggingFace’s serverless inference:

DeepSeek Family

Section titled “DeepSeek Family”
  • deepseek-ai/DeepSeek-V3.2 - 685B MoE model for general reasoning and tool use
  • deepseek-ai/DeepSeek-R1 - Reasoning model excelling at math, logic, and coding
  • deepseek-ai/DeepSeek-Coder-V2-Instruct - Specialized for code generation

Meta Llama

Section titled “Meta Llama”
  • meta-llama/Llama-3.3-70B-Instruct - General-purpose flagship model
  • meta-llama/Llama-3.1-8B-Instruct - Efficient smaller variant
  • meta-llama/Llama-3.2-11B-Vision-Instruct - Vision-enabled model

Qwen (Alibaba)

Section titled “Qwen (Alibaba)”
  • Qwen/Qwen2.5-72B-Instruct - Strong general-purpose model
  • Qwen/Qwen2.5-Coder-32B-Instruct - Code-specialized
  • Qwen/Qwen2-VL-72B-Instruct - Vision-language model

Mistral AI

Section titled “Mistral AI”
  • mistralai/Mixtral-8x7B-Instruct-v0.1 - Mixture-of-experts architecture
  • mistralai/Mistral-Nemo-Instruct-2407 - 12B efficient model

Image Generation Models

Section titled “Image Generation Models”
Model Provider Description
dall-e-3 OpenAI High-quality image generation
dall-e-2 OpenAI Faster, lower cost
imagen-3 Google Gemini image generation

Speech Models

Section titled “Speech Models”
Model Provider Description
tts-1 OpenAI Text-to-speech, standard quality
tts-1-hd OpenAI Text-to-speech, high quality

Usage Examples

Section titled “Usage Examples”
import { LLMist } from 'llmist';


// Using alias
const answer = await LLMist.createAgent()
  .withModel('sonnet')
  .askAndCollect('Hello!');


// Using full name
const answer2 = await LLMist.createAgent()
  .withModel('anthropic:claude-sonnet-4-5')
  .askAndCollect('Hello!');


// HuggingFace model
const answer3 = await LLMist.createAgent()
  .withModel('huggingface:meta-llama/Llama-3.1-8B-Instruct')
  .askAndCollect('Hello!');


// HuggingFace with provider routing
const answer4 = await LLMist.createAgent()
  .withModel('hf:deepseek-ai/DeepSeek-V3.2:fastest')
  .askAndCollect('Write a Python function to calculate factorial');


// OpenRouter model (access 400+ models)
const answer5 = await LLMist.createAgent()
  .withModel('openrouter:deepseek/deepseek-chat')
  .askAndCollect('Explain quantum computing');


// OpenRouter with alias
const answer6 = await LLMist.createAgent()
  .withModel('or:sonnet')
  .askAndCollect('Hello!');

Auto-Discovery

Section titled “Auto-Discovery”

llmist automatically discovers available providers based on environment variables:

Variable Provider
OPENAI_API_KEY OpenAI
ANTHROPIC_API_KEY Anthropic
GEMINI_API_KEY Google Gemini
OPENROUTER_API_KEY OpenRouter
HF_TOKEN HuggingFace

See Environment Variables for complete configuration.