claude-opus-4-8 vs claude-sonnet-5

claude-sonnet-5 is about 40% cheaper per 1M input tokens on CaMeL Hub.

claude-opus-4-8claude-sonnet-5
ProviderAnthropicAnthropic
per 1M input tokens$5.00$3.00
per 1M output tokens$25.00$15.00
Context window1000000 tokens1000000 tokens
Capabilitiesstreaming, vision, function-calling

When to use which

claude-opus-4-8

Claude Opus 4.8 is Anthropic's model for complex agentic coding and enterprise work. On CaMeL Hub it costs $5 per 1M input tokens and $25 per 1M output tokens — call it through the OpenAI-compatible API by setting base_url to https://api.camel-hub.com/v1 and model to "claude-opus-4-8", or use the Anthropic-native endpoint with your existing Claude tooling.

  • Long-running coding agents (Claude Code, Cursor, Cline) performing multi-file refactors and test-driven bug fixes across large repositories
  • Whole-codebase or multi-document analysis in a single request, loading up to 1M tokens of source files, contracts, or logs as context
  • Function-calling agent backends that orchestrate many tools over dozens of sequential steps, such as research, ops automation, or data pipelines
  • Enterprise document workflows — contract review, RFP drafting, policy summarization — that need long, structured outputs up to 128K tokens

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claude-sonnet-5

Claude Sonnet 5 is Anthropic's balanced flagship: near-Opus coding and agent quality at Sonnet speed. Call it on CaMeL Hub with any OpenAI-compatible SDK — set base_url to https://api.camel-hub.com/v1 — at $3 per 1M input tokens and $15 per 1M output tokens. The Anthropic-native Messages format is supported on the same key, so Claude Code and the official Anthropic SDK work unchanged.

  • Agentic coding assistants — connect Cursor, Cline, or your own agent loop through the OpenAI-compatible endpoint for near-Opus code quality at Sonnet cost
  • Whole-repository or long-document analysis — contracts, papers, and multi-file codebases fit inside the 1M-token context window in a single request
  • Function-calling backends that translate natural-language requests into structured tool calls against internal APIs
  • Screenshot and document-image understanding — extract data from UI captures, scanned forms, and charts via vision input

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Try both with one key