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Claude Sonnet 4.6

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claude-sonnet-4-6

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

What is the Claude Sonnet 4.6 API and what does it cost?

Claude Sonnet 4.6 is an Anthropic Claude model released on February 17, 2026, with a 1M-token context window and up to 128K output tokens. NezhaGate serves it through an OpenAI-compatible endpoint and through the native Anthropic Messages API used by Claude Code. On NezhaGate it costs $1.50 per 1M input tokens and $7.50 per 1M output tokens (Anthropic list price: $3 / $15). Base URL: https://nezhagate.com/v1 (OpenAI-compatible).

Measured performance

Real streaming requests sent through the public NezhaGate API. Test window 2026-10-20 18:17 – 2026-10-20 18:40 UTC; sample size 100.

2.45 sTime to first token · p50
5.04 sTime to first token · p95
100%Success rate (100 of 100)
36Output tokens / second · p50
11.3 sFull response · p50 (~308 output tokens)
How this was measured
Client: a server in Los Angeles, California (US), calling https://nezhagate.com/v1 over the public internet. 100 requests to POST /v1/chat/completions with stream: true, one at a time with a 1-second gap, rotating through 10 prompts that each ask for about 200 words on a software topic, max_tokens 2500, reasoning_effort not sent (model default). Time to first token runs from sending the request to the first streamed token of any kind (answer or reasoning text). Output speed is answer tokens divided by the time from the first to the last answer token; reasoning tokens are subtracted when the API reports them, and a request is left out when the token count cannot be separated from hidden thinking. Success means HTTP 200 and a completed stream with a non-empty answer. Percentiles are nearest-rank over successful requests. The test key belongs to an internal account, so these calls are not part of the public success-rate figures elsewhere on the site. Measurements are repeated every week and this page updates itself; the date above is the latest run.

Cost example

NezhaGate figures use the live price on this page; vendor figures use the vendor's published list price (sources below).

1,000 coding-assistant calls

Each call sends 20,000 input tokens and receives 2,000 output tokens, without prompt caching.

WhereCostDifference
NezhaGate$45.00—
Anthropic API list price$90.00NezhaGate 50% cheaper

With prompt caching, NezhaGate bills cache reads at $0.15 per 1M tokens (1/10 of input) and cache writes at 1.25x input. Anthropic lists $0.30 for cache reads and $3.75 for 5-minute cache writes.

Vendor list prices checked 2026-09-25: Anthropic pricing.

Parameters & capabilities

"Vendor spec" is what the model's maker publishes. "Via NezhaGate" is what our own requests through the gateway showed (last checked 2026-10-20).

ItemVendor specVia NezhaGate
Model idclaude-sonnet-4-6 Anthropic: Claude Sonnet 4.6 overview claude-sonnet-4-6
Endpoints— /v1/chat/completions (OpenAI format) and /anthropic/v1/messages (native Anthropic, for Claude Code and the Anthropic SDK)
Price per 1M tokens$3 input · $15 output · $0.30 cache read · $3.75 cache write (5 min) Anthropic pricing $1.50 input · $7.50 output · $0.15 cache read · 1.25x input cache write
Context window1M tokens Anthropic: Claude Sonnet 4.6 overview Not measured by us
Max output128K tokens Anthropic: Claude Sonnet 4.6 overview ✓ max_tokens is enforced (stops with finish_reason: length)
Vendor statusLegacy (Anthropic model overview) Anthropic: Claude Sonnet 4.6 overview Served
Streaming— ✓ Yes (SSE), with usage in the final chunk
Tool calling— ✓ Yes, OpenAI tools / tool_calls format
Image input (vision)— ✓ Yes (image_url, base64 data: URL tested)
JSON mode— ✓ Yes, response_format: json_object returned bare JSON
Structured output— ✗ Not enforced: the reply did not follow the schema in our test
Extended thinking— ✓ Yes: reasoning_effort turns it on and the thinking comes back in reasoning_content

Tool setup

Base URL https://nezhagate.com/v1, your NezhaGate API key, and the model id claude-sonnet-4-6. Request and response samples (cURL, Python, Node.js) are in the Claude Sonnet 4.6 API docs.

  1. Open Cursor Settings → Models.
  2. Under API Keys, paste your NezhaGate key into OpenAI API Key, turn on Override OpenAI Base URL and enter https://nezhagate.com/v1.
  3. Add a custom model named claude-sonnet-4-6, enable it, and pick it in the chat model menu.

Differences from the official API & known limits

  • /v1/responses is not available for this model. Use /v1/chat/completions or the native /anthropic/v1/messages.
  • On /anthropic/v1/messages, max_tokens is required (HTTP 400 without it), and the anthropic-version and anthropic-beta headers are passed through unchanged.
  • Other request parameters on the OpenAI-compatible route are passed to the model unchanged; if the model provider rejects one with a 4xx error, you receive that error and the call is not billed.
  • No Batch API: Anthropic's batch discount does not apply; every call is billed at the rate on this page.
  • Prompt caching works on both routes: a byte-identical prefix repeated within a short window is billed as a cache read at 1/10 of the input rate. Short prompts are not cached; Claude Code with a large CLAUDE.md usually hits on every turn.

Claude Sonnet 4.6 API: frequently asked questions

How do I use Claude Sonnet 4.6 in Claude Code?
Set ANTHROPIC_BASE_URL to https://nezhagate.com/anthropic, put your NezhaGate key in ANTHROPIC_API_KEY, and set ANTHROPIC_MODEL and ANTHROPIC_DEFAULT_HAIKU_MODEL to claude-sonnet-4-6 (NezhaGate serves no Haiku model). The full settings.json snippet is in the Claude Code tab above.
How much does Claude Sonnet 4.6 cost on NezhaGate compared with Anthropic?
NezhaGate charges $1.50 per 1M input tokens and $7.50 per 1M output tokens. Anthropic's list price is $3 / $15 per 1M.
Can I call Claude Sonnet 4.6 with the OpenAI SDK?
Yes. Point the OpenAI SDK at https://nezhagate.com/v1 and set model to claude-sonnet-4-6. Tool calling, image input and streaming work in the OpenAI format.
How fast is Claude Sonnet 4.6 through NezhaGate?
In our latest test (100 streaming requests, 2026-10-20), the median time to first token was 2.45 s and the 95th percentile 5.04 s, with 100% of requests succeeding.
Are failed requests billed?
No. Only requests that return normally are billed, at their actual token usage.

Live Test · Playground

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

Input

Advanced
Web search
Memory · multi-turn
Thinking

Conversation

Start a conversationType a message below to begin

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 — for a new project, try the newer Claude Sonnet 5 first. 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 the Claude models share one endpoint — just change the model field.

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