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LLMs API
Last updated Aug 3, 2026

Forge LLMs models

Forge LLMs supports Claude models across three tiers: Haiku, Sonnet, and Opus. You choose the model per request, allowing you to balance latency, capability, and cost for each use case.

Supported models

You can use the list method from the @forge/llm SDK to dynamically fetch the list of supported models and their current status.

Model IDTierFamilyStatusTentative retirement date
claude-haiku-4-5-20251001HaikuClaudeACTIVENot sooner than October 15, 2026
claude-sonnet-4-5-20250929SonnetClaudeACTIVENot sooner than September 29, 2026
claude-sonnet-4-6SonnetClaudeACTIVENot sooner than February 17, 2027
claude-sonnet-5SonnetClaudeACTIVENot sooner than June 30, 2027
claude-opus-4-6OpusClaudeACTIVENot sooner than February 5, 2027
claude-opus-4-7OpusClaudeACTIVENot sooner than April 16, 2027
claude-opus-4-8OpusClaudeACTIVENot sooner than May 28, 2027
claude-opus-5OpusClaudeACTIVENot sooner than July 24, 2027

Some models do not support the temperature and top_p sampling parameters. Omit both parameters from requests to any affected model. For the current list of affected models, see the validation rules.

Only text input/output is currently supported; multimodal support may be considered later.

Claude - Opus

  • Most capable (best for complex, deep reasoning tasks)
  • Slowest (higher latency due to depth)
  • Highest cost

Claude - Sonnet

  • Balanced capability
  • Moderate speed
  • Moderate cost

Claude - Haiku

  • Fast and efficient (best for lightweight or high‑volume tasks)
  • Lowest cost

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