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Model detail

claude-sonnet-5

Provided by Anthropic
Pay-as-you-go

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

Model specs

Context length
1M
Max output
128K
I/O modalities
Text / Image
Released
2026-06

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • Anthropic Messages /v1/messages POST
  • OpenAI-compatible /v1/chat/completions POST

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Pricing

Flat rate, unit: /1M Tokens

Input

$2.0000 /1M Tokens

Completion

$10.0000 /1M Tokens

Cache read

$0.2000 /1M Tokens

Cache creation

$2.5000 /1M Tokens

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Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Frontier coding, agents, and professional work

Use Sonnet 5 for coding, agentic workflows, and professional tasks. It supports adaptive thinking with selectable reasoning effort levels, a 1M-token context window, and text/image/file inputs.

What should you check before using it?

Tune reasoning effort and review safety safeguards

Sonnet 5 offers five reasoning effort levels (low to x-high). Test your workload at the appropriate level. Note that real-time cyber safeguards block certain high-risk dual-use activities.

Why use it through MixRoute?

Use the compatible endpoint with stable model ID

Use the confirmed compatible endpoint with model ID claude-sonnet-5 through MixRoute.

08

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Share of the same prefix read repeatedly, up to 100%

09

FAQ

Sonnet 5 is Anthropic’s most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels, a 1M-token context window, and text, image, and file inputs.

One endpoint, a testable decision

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs