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Claude Sonnet 4.6 specifications and pricing (Claude Platform docs, read 4 Nov 2026)

Item	Value
Released	17 February 2026
Context window	1M tokens (as listed in the current docs)
Max output	128K tokens (300K with Batch API, beta)
Input price	$3 per MTok
Output price	$15 per MTok
Cache read	$0.30 per MTok
Batch API	50% discount on input and output
Thinking	Adaptive; default effort high
Input to output	Text and images to text
Reliable knowledge cutoff	Aug 2025 (training data Jan 2026)
Status	Active (legacy); retirement not sooner than 17 Feb 2027

Specs are from the current docs page, which now lists Sonnet 4.6 as legacy; Anthropic's launch benchmark table was not read as text, so no graph is saved. · source

Language model rubric2026 criteria

Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored as launched (Claude Sonnet 4.6, 17 Feb 2026): Artificial Analysis Intelligence Index 51 (adaptive thinking, max effort) per its 18 Feb 2026 article, index version then current (later rebased; live page differs). Coding null: no Terminal-Bench 4.0 at launch (AA measured 53% on its then Terminal-Bench, Anthropic 59.1% on Terminal-Bench 2.0; neither is 4.0). 1M-token context in beta; $3 in / $15 out per 1M (about $6 blended). 56.2 output tokens/s on Artificial Analysis (live page, 24 Oct 2026). Text and image input. 4 reviews, all string-matched.

Alternate names

Claude Cowork
Alias

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Comments

References 588% CONFIDENCEOverall confidence: 88%How well the pin's source and references back up its dates.Weighted average of how firmly 5 references, the source included, support the pin's start and end times; a reference counts half as much for every 180 days older than the newestShow all pins at 75% confidence or better

The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.

[1]90%
anthropic.com/news/claude-sonnet-4-6
anthropic.com· Posted Sep 28, 2026· Starts Feb 17, 2026 ✓· 31% of score
The post is dated "Feb 17, 2026" and says "Claude^[2] Sonnet 4.6 is available now on all Claude plans, Claude Cowork, Claude Code, our API, and all major cloud platforms"; the docs model page lists "Released February 17, 2026" and CNBC^[3] reported it that day.
[2]90%
Claude Sonnet 4.6 - Claude Platform Docs
platform.claude.com· Added Sep 28, 2026· 31% of score
Anthropic's^[1][5] model page: claude-sonnet-4-6, 1M-token context, 128K max output (300K Batch beta), $3/$15 per million tokens, adaptive thinking (extended deprecated), text and images in, an August 2025 reliable knowledge cutoff, "Released February 17, 2026".
[3]85%
Anthropic releases Claude Sonnet 4.6, continuing breakneck pace of AI model releases
cnbc.com· Published Feb 17, 2026· Starts Feb 17, 2026· 13% of score
CNBC, 2026-02-17: the default for free and Pro users in Claude^[2] and Claude Cowork, better at computers, coding, design and knowledge work; Anthropic's^[1][5] advances had fed a sell-off in software stocks, with the iShares Expanded Tech-Software Sector ETF (IGV) down more than 20% for the year.
[4]80%
Claude Sonnet 4.6 Brings Improved Coding, Computer Use, and Office Tasks
macrumors.com· Published Feb 17, 2026· Starts Feb 17, 2026· 13% of score
MacRumors, 2026-02-17: "Anthropic^[1][5] today updated its Sonnet model to version 4.6", available on all Claude^[2] plans, with file creation, connectors, skills and compaction added for free users; Opus 4.6 stays the better choice for the hardest agentic work.
[5]90%
System Card: Claude Sonnet 4.6
anthropic.com· Published Feb 17, 2026· 13% of score
Anthropic's^[1] system card dated "February 17, 2026", which records the model's release under the AI Safety Level 3 (ASL-3) Standard; a 6 March 2026 changelog entry updated its BrowseComp scores after an improved cheating-detection pipeline.

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Reviews

Anthropics Claude Sonnet 4.6 arrives with smarter search and coding skills but a concerning lack of ethical brakes · the-decoder.com · Feb 18, 2026Sonnet 4.6 placed second in Vending-Bench 2, nearly matching Opus 4.6's performance at a third of the cost.
Sonnet 4.6 - Everything you need to know · artificialanalysis.ai · Feb 18, 2026Sonnet 4.6 leads all models we have tested on GDPval-AA and TerminalBench, outperforming even Claude Opus 4.6.
Claude Sonnet 4.6 review: The sweet spot between performance and price · eesel.ai · Feb 26, 2026For production code review workflows, Sonnet 4.6 meaningfully closes the gap with Opus on bug detection.
Claude Sonnet 4.6 is free to use right now — here are 5 things you should try first · tomsguide.com · Feb 25, 2026Claude Sonnet 4.6 handles this better than almost anything else available right now.

Sentiment over timePositive

Sentiment

Sentiment over time
Anthropics Claude Sonnet 4.6 arrives with smarter search and coding skills but a concerning lack of ethical brakes · Feb 18, 2026	0.70
Sonnet 4.6 - Everything you need to know · Feb 18, 2026	0.80
Claude Sonnet 4.6 is free to use right now — here are 5 things you should try first · Feb 25, 2026	0.80
Claude Sonnet 4.6 review: The sweet spot between performance and price · Feb 26, 2026	0.60

"Claude Sonnet 4.6 is our most capable Sonnet model yet", a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work and design^[1][4]
It became the default model in claude.ai and Claude Cowork for Free and Pro users, and the free tier gained file creation, connectors, skills and compaction; it is on every Claude plan, Claude Code, the API and all major cloud platforms^[1][3][4]
In Claude Code, early testers preferred it to Sonnet 4.5 about 70% of the time and even to Opus 4.5, Anthropic's November flagship, 59% of the time, calling it less prone to overengineering and "laziness"^[1]
Safety researchers found "a broadly warm, honest, prosocial, and at times funny character" and no signs of major high-stakes misalignment; it resists prompt injection much better than Sonnet 4.5 and was released under ASL-3^[1][5]
CNBC tied the launch to a sell-off in software stocks, with the IGV software ETF down more than 20% for the year^[3]

Notable features

Price unchanged from Sonnet 4.5 at $3 per million input tokens and $15 per million output tokens; a 1M-token context window (in beta at launch) and 128K max output^[1][2]
Anthropic's table: 79.6% on SWE-bench Verified, 72.5% on OSWorld-Verified (Sonnet 4.5: 61.4%), 59.1% on Terminal-Bench 2.0 and 74.7% on BrowseComp^[1]
Its OSWorld chart traces the Sonnet line from 14.9% for the October 2024 Claude 3.5 Sonnet to 72.5% for Sonnet 4.6^[1]
Adaptive and extended thinking, plus context compaction in beta that summarises older context as a conversation nears its limit^[1][2]
It matches Opus 4.6 on OfficeQA, Databricks' test of reading enterprise charts, PDFs and tables, and in Vending-Bench Arena it invested heavily for ten simulated months before pivoting to profit^[1]

Benchmarks^[1]

Benchmark	Sonnet 4.6	Sonnet 4.5	Opus 4.6	Opus 4.5	Gemini 3 Pro	GPT-5.2 (all models)
Agentic terminal coding (Terminal-Bench 2.0)	59.1%	51.0%	65.4%	59.8%	56.2% (54.2% self-reported)	64.7% (64.0% self-reported, Codex CLI)
Agentic coding (SWE-bench Verified)	79.6%	77.2%	80.8%	80.9%	78.0% (Flash)	80.0%
Agentic computer use (OSWorld-Verified)	72.5%	61.4%	72.7%	66.3%	—	38.2%
Agentic tool use (τ2-bench), retail	91.7%	86.2%	91.9%	88.9%	85.3%	82.0%
Agentic tool use (τ2-bench), telecom	97.9%	98.0%	99.3%	98.2%	98.0%	98.7%
Scaled tool use (MCP-Atlas)	61.3%	43.8%	59.5%	62.3%	54.1%	60.6%
Agentic search (BrowseComp)	74.7%	43.9%	84.0%	67.8%	59.2% (Deep Research)	77.9% (Pro)
Multidisciplinary reasoning (Humanity's Last Exam), without tools	33.2%	17.7%	40.0%	30.8%	37.5%	36.6% (Pro)
Multidisciplinary reasoning (Humanity's Last Exam), with tools	49.0%	33.6%	53.0%	43.4%	45.8%	50.0% (Pro)
Agentic financial analysis (Finance Agent v1.1)	63.3%	54.5%	60.1%	58.8%	55.2%	59.0%
Office tasks (GDPval-AA Elo)	1633	1276	1606	1416	1201	1462
Novel problem-solving (ARC-AGI-2)	58.3%	13.6%	68.8%	37.6%	31.1%	54.2% (Pro)
Graduate-level reasoning (GPQA Diamond)	89.9%	83.4%	91.3%	87.0%	91.9%	93.2% (Pro)
Visual reasoning (MMMU-Pro), without tools	74.5%	63.4%	73.9%	70.6%	81.0%	79.5%
Visual reasoning (MMMU-Pro), with tools	75.6%	68.9%	77.3%	73.9%	—	80.4%
Multilingual Q&A (MMMLU)	89.3%	89.5%	91.1%	90.8%	91.8%	89.6%