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Models

Model Catalog

FlowAPI provides access to a broad model catalog across multiple providers through a single API surface. Visit the Models page  to browse the latest pricing, availability, and capabilities.

Supported Providers

ProviderExample models
OpenAIGPT-4o, GPT-4o-mini, o1, o3
AnthropicClaude 4 Sonnet, Claude 3.5 Haiku
GoogleGemini 2.5 Pro, Gemini 2.5 Flash
DeepSeekDeepSeek-V3, DeepSeek-R1
QwenQwen3-Coder, QwQ-32B
MetaLlama 3.3 70B, Llama 4

Model availability and pricing may change. The live Models page  is the source of truth for current offerings.

Choosing a Model

When selecting a model, consider:

  • Task complexity: Larger models are better for nuanced reasoning and complex workflows.
  • Context length: Check the maximum context window for long documents or multi-step prompts.
  • Latency requirements: Smaller models are often faster for interactive use cases.
  • Cost: Compare input and output token pricing against your expected workload.
  • Modality support: Verify whether the model supports text, vision, embeddings, or other specialized tasks.

Using Models in the API

Specify the model ID in your request:

from openai import OpenAI client = OpenAI( api_key="YOUR_FLOW_API_KEY", base_url="https://api.flowapi.net/v1" ) response = client.chat.completions.create( model="gpt-4o", messages=[ {"role": "user", "content": "Hello!"} ] )

List available models

You can also enumerate all models programmatically:

models = client.models.list() for model in models.data: print(model.id)
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