Anthropic

Claude Sonnet 4.6

The record carries a second output ceiling for this model — 300,000 tokens, marked beta — and says nothing about what unlocks it. Until it does, size a long-output job against the standard limit.

The published record

Every number below was read from the provider's own documentation on the date shown. benchr does not restate a figure it has not seen published.

API identifier
claude-sonnet-4-6
Context window
1MtokensSource
Maximum output
64KtokensSource
Input
$3.00per 1M tokensSource
Output
$15.00per 1M tokensSource
Cached input
$0.3per 1M tokensSource
Released
February 17, 2026Source
License
Proprietary

Record verified July 30, 2026

What the record says

No fast-mode tier (fast mode is Opus-only). Cache-hit input $0.30 confirmed on the official pricing page June 12, 2026; official tentative retirement floor: not sooner than February 17, 2027. Benchmark values read from the official Sonnet 4.6 System Card (Table 2.1.A). SWE-bench Verified 79.6% averaged over 25 trials (80.2% with a stated prompt modification). Anthropic flags possible AIME 2025 contamination. Anthropic reports MMMLU, not plain MMLU.

What benchr has documented it doing

Capabilities in the benchr ledger that name this model. Documented means a provider says it works and benchr recorded where. Verified means benchr ran it.

2 capabilities name this model. All 2 are officially supported by the provider; benchr has run 0 of them itself.

Which one to use

The rest of the family, with the two numbers that usually decide it. The current model is marked.

ModelsInput OutputContext window
Claude Haiku 4.5$1.00$5.00200K
Claude Sonnet 5$2.00$10.001M
Claude Sonnet 4.6 This page$3.00$15.001M
Claude Opus 4.7$5.00$25.001M
Claude Opus 4.8$5.00$25.001M
Claude Opus 5$5.00$25.001M
Claude Fable 5$10.00$50.001M
Claude Fable 5.1$10.00$50.001M

benchr's read

Worth it for

  • Production default
  • Cost-effective coding
  • Bulk content tasks
  • Daily-driver API workloads

Look elsewhere if

  • You need frontier-grade reasoning

Prices, limits, and identifiers above are provider facts. This section is benchr's judgement about them.

What benchr has written about it

Pieces that name this model, newest first. The ones written about this model come before the ones that mention it in passing.

What is not on this page

Stated rather than filled in.

  • No first-token or tokens-per-second figure is recorded. benchr has not measured it and the provider does not publish one.
  • benchr has not run any capability on this model itself. Everything in the capability section is documentation, not a test result.

Where this leads