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Claude Sonnet 4.6

claude-sonnet-4-6
24H STATUS Success: 50.0%
-24hnow
Only successes and our own failures are counted: green is success in that hour, red is the failure share. Two things are excluded -- client-side errors (bad request, auth, insufficient balance and other 4xx) and requests still in flight. One bar per hour, taken from real gateway call logs.

Claude Sonnet 4.6 strikes an excellent balance between capability and speed, excelling at everyday chat, code and agents at a great price. Fully OpenAI-API compatible: set model to claude-sonnet-4-6 and you are connected.

ChatCodeCost-efficientOpenAI compatible

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Try out Claude Sonnet 4.6 right here (available after login)。

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About Claude Sonnet 4.6

Claude Sonnet 4.6 is Anthropic's balanced-tier chat and coding model, tuned to sit between deep reasoning, response speed, and running cost. It is strong at multi-turn conversation, code generation and review, and long-context document work. On NezhaGate it is served through an OpenAI-compatible API: point your base_url at NezhaGate, set the model to claude-sonnet-4-6, and reuse your existing OpenAI SDK. Billing is pay-as-you-go, and failed requests are not charged.

Use cases

Coding and code review

Generate functions, refactor snippets, locate bugs, and explain fixes as a day-to-day pair-programming assistant.

Long-document understanding

Summarize, extract from, and answer questions over contracts, papers, and technical manuals while staying coherent across long context.

Customer-support chat

Power multi-turn support and knowledge-base bots that balance answer quality against per-call cost.

Structured data extraction

Pull fields from emails, tickets, or web pages and return clean JSON for downstream workflows.

Content rewriting

Expand, rewrite, translate, and adjust the tone of copy with a healthy quality-to-throughput ratio.

How to choose

Pick Claude Sonnet 4.6 when your workload is everyday chat, coding, and moderate reasoning and you want to keep costs in check — it is the most balanced of the three Claude models NezhaGate serves. For deeper reasoning, code engineering or agent orchestration switch to Claude Opus 5; for narrative and long-form writing switch to Claude Fable 5. For the hardest reasoning or large code projects you can also step up to GPT-5.6 Sol or Gemini 3.1 Pro, or drop to Gemini 3.6 Flash Low or GPT-5.6 Luna when you need lower latency for high-volume, lightweight calls. All three Claude models share one endpoint — just change the model field.

FAQ

What is Claude Sonnet 4.6?
Claude Sonnet 4.6 is Anthropic's balanced-tier chat and coding model, positioned between the flagship Opus and the fast Haiku. It balances reasoning quality, speed, and cost, and is strong at multi-turn conversation, code generation and review, and long-context documents. On NezhaGate you call it through an OpenAI-compatible API.
Does it support streaming?
Yes. Set stream=true on the OpenAI-compatible endpoint to receive token-by-token output, which suits chat UIs and any flow that needs incremental feedback. The response shape matches OpenAI's, so your frontend needs no changes.
How do I call it with the OpenAI SDK?
Point the OpenAI client's base_url at NezhaGate, use your NezhaGate API key, and set model to "claude-sonnet-4-6". Every other chat-completions parameter (messages, temperature, stream, and so on) stays the same, so migration is minimal.
Which scenarios fit it best?
It fits everyday coding, code review, long-document summarization and Q&A, support chat, and structured extraction — tasks that demand solid quality while staying cost-aware. For workloads of moderate-to-high difficulty it is usually the most cost-effective choice.
Which Claude models does NezhaGate offer?
Three: Claude Opus 5 (the next-generation flagship, strong at complex reasoning and code engineering), Claude Fable 5 (same generation, tuned for narrative and long-form writing) and Claude Sonnet 4.6 (the balanced tier for high-frequency everyday calls). All three are reachable over the native Anthropic Messages API, so tools like Claude Code can connect directly. When a task needs more reasoning depth you can also change the model field on the same endpoint to GPT-5.6 Sol or Gemini 3.1 Pro.

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