OpenAI · Text

OpenClaw x GPT

GPT is OpenAI's frontier LLM family, spanning standard and mini variants for different cost-performance trade-offs. Through RunAPI, all GPT models share the same API shape and billing.

Public versions and endpoints

Model IDVersionEndpointsStarting priceCatalog
codex-auto-reviewcodex-auto-review
/v1/chat/completions
/v1/responses
$0.0025Model detail
gpt-5.2Professional knowledge work; Thinking mode for deep tasks
/v1/responses
/v1/chat/completions
$0.0009Model detail
gpt-5.2-progpt-5.2-pro
/v1/responses
$0.011Model detail
gpt-5.3-codexSpecialized for multi-file code generation and editing
/v1/responses
/v1/chat/completions
$0.0011Model detail
gpt-5.3-codex-sparkgpt-5.3-codex-spark
/v1/chat/completions
/v1/responses
$0.0011Model detail
gpt-5.4Best coding + agentic workflows; industry-leading code benchmark
/v1/responses
/v1/chat/completions
$0.0025Model detail
gpt-5.4-miniCost-effective fallback for gpt-5.4; available to Free tier
/v1/chat/completions
/v1/responses
$0.0005Model detail
gpt-5.4-nanogpt-5.4-nano
/v1/chat/completions
/v1/responses
$0.0001Model detail
gpt-5.4-progpt-5.4-pro
/v1/responses
$0.030Model detail
gpt-5.5Purpose-built for long-horizon agentic tasks; best error recovery
/v1/chat/completions
/v1/responses
$0.0050Model detail
gpt-5.5-progpt-5.5-pro
/v1/responses
$0.030Model detail
gpt-5.6-lunaFastest, lightest GPT-5.6 tier for summaries, drafts, and everyday automation
/v1/responses
/v1/chat/completions
$0.0002Model detail
gpt-5.6-solFlagship for the hardest tasks: complex coding, deep research, long-horizon agents
/v1/chat/completions
/v1/responses
$0.0050Model detail
gpt-5.6-terraBalanced workhorse for high-volume tasks; near-flagship quality, cost-efficient
/v1/chat/completions
/v1/responses
$0.0020Model detail

Configuration

Guide endpoint: <endpoint>

Select <model-id> to generate a request with the endpoint's public input contract.

Verify

Select <model-id> to generate verification commands.

How it works

  1. 1. Choose a model ID

    Select a public catalog model ID and review its endpoint and current starting price.

  2. 2. Configure RunAPI

    Add the provider configuration for this agent.

  3. 3. Verify the result

    Run the agent status and model-selection commands shown below.

FAQ

Which model ID should I use?

Choose a public model ID from the version table. Each ID exposes the endpoints shown for that version.

Does this guide configure a chat model?

Yes. This Model Line supports a client-facing LLM protocol.