Claude Sonnet 4.6

claude-sonnet-4.6

Claude Sonnet 4.6 is presented as a broad upgrade for coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Anthropic materials describe it as a strong middle tier with 1M-context beta support and better agent behavior. It is suited to teams that want near-frontier capability with more practical cost and latency than Opus.

Total Context

1Mtokens

Max Output

64Ktokens

Released

Feb 17, 2026

Modalities

Claude Sonnet 4.6 Price

Input PriceOutput PriceCache ReadCache Create 5m
$3/M$15/M$0.3/M$3.75/M

Claude Sonnet 4.6 API

openaiPOST /v1/chat/completions

Claude Sonnet 4.6 Benchmark

35.9

/100

Artificial Analysis Intelligence Index

Artificial Analysis broad capability aggregate

Index score

46.4

/100

Artificial Analysis Coding Index

Artificial Analysis software task aggregate

Index score

Knowledge & Reasoning

GPQA

Advanced science problem solving

79.9%

HLE

Broad expert-level exam set

13.2%

Coding & Engineering

SciCode

Scientific coding challenges

46.9%

Terminal-Bench Hard

Hard terminal task execution

46.2%

Instruction Following & Agent Tasks

IFBench

Prompt constraint adherence

41.2%

AA-LCR

Long-context reasoning

57.7%

τ²-Bench

Agent workflow tasks

79.5%

Metrics sourced from Artificial Analysis

Model Comparison

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Frequently asked questions about Claude Sonnet 4.6

Understand what Claude Sonnet 4.6 is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.

How should developers understand the role of Claude Sonnet 4.6?+

Claude Sonnet 4.6 is Anthropic’s current Sonnet model, balancing frontier-level coding and agent skills with lower cost than Opus. It is a current public model in its provider’s documentation, though availability can vary by platform.

When does Claude Sonnet 4.6 deliver the most practical value?+

Best-fit scenarios include agentic coding and repository work, computer-use and interface automation, and knowledge work across business documents. Test representative inputs and define measurable acceptance criteria before production.

What are the most useful characteristics of Claude Sonnet 4.6?+

Key strengths include a strong balance of quality, speed, and cost, strong coding performance, and effective use of tools and function calls. This combination is especially useful for computer-use and interface automation.

What are the practical limits of Claude Sonnet 4.6?+

Consider another model when the task needs the strongest Opus-level capability, the workflow cannot include human review for important decisions, or a smaller Haiku model meets the quality requirement at lower cost. Run generated code through tests, security checks, and human review before merging or deployment.

How should developers call Claude Sonnet 4.6 through TokenHub?+

In TokenHub, select the exact model identifier displayed for Claude Sonnet 4.6, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the TokenHub model page for the available Claude features, context limits, tool support, and current model status for your account.