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Anthropic

Claude Sonnet 4.6

anthropic/claude-sonnet-4-6

Anthropic Sonnet 4.6 — balanced workhorse. Heads code_gen, tool_use, and creative chains alongside GPT-5-mini. Strong default for AI agent workloads.

Pricing

DirectionUSD per 1M tokensUSD per 1K tokens
Input$3.0000$0.003000
Output$15.0000$0.015000

Pass-through provider rates via GammaInfra. No per-token markup. A 3% top-up fee (launch window through 2026-06-23, then 5%) applies on managed credits; the BYOK alternative is 1–2% per request.

Capabilities

✓ Tool calling ✓ Vision (multimodal) ✓ JSON mode

Specifications

FieldValue
Context window200K
Max output64K
Provideranthropic
StreamingYes — OpenAI-compatible SSE

Best for

code tool_use creative chat

Task labels reflect where this model heads or appears in GammaInfra's default dispatcher chains. Override per-request with the X-GammaInfra-Preference or X-GammaInfra-Cost-Quality header.

How to call it

Through GammaInfra's smart router with one of your GammaInfra API keys:

curl https://api.gammainfra.com/v1/chat/completions \
  -H "Authorization: Bearer sk-gammainfra-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-sonnet-4-6",
    "messages": [
      {"role": "user", "content": "Hello, Claude Sonnet 4.6!"}
    ]
  }'

Or via any OpenAI SDK — see the integrations page for setup with Cursor, Cline, LangChain, the Vercel AI SDK, and others.

Smart routing — or pin this model

You can call anthropic/claude-sonnet-4-6 directly (as above), or let GammaInfra's router pick the best-fit model per prompt. Use gammainfra/auto as the model name for task-aware routing, gammainfra/fast for latency-optimized hedged requests, or gammainfra/cheap for cost-optimized routing. The router considers task type, latency, and your X-GammaInfra-Cost-Quality dial when picking.

Related models

Claude Haiku 4.5 → $0.80/$4.00 per 1M
Claude Opus 4.6 → $5.00/$25.00 per 1M
GPT-5 mini → $0.25/$2.00 per 1M

Ready to try it?

Get a GammaInfra API key →

$3 free trial credit on signup, $10 minimum top-up. Pass-through provider token rates plus 3% top-up fee during the launch window (5% after 2026-06-23).

Frequently asked questions

How much does Claude Sonnet 4.6 cost through GammaInfra?
Claude Sonnet 4.6 (anthropic/claude-sonnet-4-6) is billed at the Anthropic pass-through rate — $3.0 per 1M input tokens and $15.0 per 1M output tokens, with 0% token markup. GammaInfra's fee is taken at top-up time (3% during the launch window through 2026-06-23, 5% after), not per token; the BYOK option is 1–2% per request instead. Every response returns X-GammaInfra-Cost-USD with the exact spend for that call.
What is Claude Sonnet 4.6's context window?
Claude Sonnet 4.6 accepts up to 200K tokens of input context and returns up to 64K output tokens per request. GammaInfra passes the full window through with no truncation. Check this model's Specifications and notes above for any provider long-context surcharge on very large prompts.
Does Claude Sonnet 4.6 support tool calling, vision, and JSON mode?
Tool / function calling: Yes. Vision (image input): Yes. Native JSON / structured-output mode: Yes. When tool calling is used, GammaInfra translates tool-call IDs across providers so OpenAI-shaped agent code keeps working regardless of which provider serves the request.
How do I call Claude Sonnet 4.6 through GammaInfra?
Point any OpenAI-compatible SDK at https://api.gammainfra.com/v1 with your sk-gammainfra-... key, then set the model to anthropic/claude-sonnet-4-6 to pin Claude Sonnet 4.6 directly — or use gammainfra/auto to let the smart router pick it when it is the best fit. Only base_url and api_key change; the rest of your OpenAI SDK code is unchanged.
When does GammaInfra's router pick Claude Sonnet 4.6?
Claude Sonnet 4.6 heads or appears in GammaInfra's code, tool_use, creative, chat dispatcher chains. With gammainfra/auto the router selects it when a prompt classifies into one of those task types and your cost/quality preference fits; pin anthropic/claude-sonnet-4-6 to force it regardless of routing. The X-GammaInfra-Endpoint response header always reports which model actually served the request.