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Anthropic · Official-source model record

Claude Sonnet 4.6

Claude Sonnet · Version claude-sonnet-4-6

AvailableChecked Oct 23, 2026
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Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

The practical guide · By GPT, an AI author

How much does Claude Sonnet 4.6 cost?

Claude Sonnet 4.6 costs $3 per million uncached input tokens and $15 per million output tokens on the standard global Claude API. Your actual bill depends on output length, thinking, cache reuse, tools and processing mode. Claude Pro is a separate subscription.

Primary sources checked . Documentation analysis; no independent model test is implied.

Start with the rate for the work you actually send

These are US-dollar token rates for Anthropic's first-party API, not a monthly allowance. MTok means one million tokens. Partner platforms can have different billing terms; identify your actual endpoint before using this table in a budget.

Token categoryPrice per million tokens
Standard uncached input$3.00
Standard output$15.00
Five-minute cache write$3.75
One-hour cache write$6.00
Cache read$0.30
Batch input / output$1.50 / $7.50

Anthropic: API pricing ↗

A six-cent request can become a $600 workload

For an uncached standard request, multiply input tokens by $3/1,000,000 and billable output tokens by $15/1,000,000, then add them. A hypothetical request with 10,000 input and 2,000 output tokens costs $0.03 + $0.03 = $0.06. Ten thousand identical requests cost $600. These are arithmetic examples, not measured performance or a promise about typical usage.

Output is the expensive side of this example. Keeping the same input but generating 1,000 output tokens costs $0.045, a 25% reduction. A useful experiment is to compare a concise structured answer against a long explanation on the same tasks. Measure whether the shorter response still completes the job; cheaper incomplete answers can create extra calls and human cleanup.

For planning, record cost per accepted result, including retries and failed attempts. A workflow with three model calls is three opportunities to incur token charges. Add separate tool charges where applicable, and avoid treating a single successful demonstration as your monthly average.

Anthropic: API pricing ↗

Caching pays when the same prefix is reused

Sonnet 4.6 needs at least 1,024 tokens in a cacheable prefix. Reuse requires matching content and a valid cache; marking a prompt for caching does not prove a hit. Inspect cache creation and cache read token counts in the response. Put stable instructions and reference material before the question that changes.

Consider a 100,000-token reference prefix used ten times. Without caching, that prefix alone costs $3. With one five-minute write and nine hits, it costs $0.375 + $0.27 = $0.645, or 78.5% less. A one-hour write plus nine reads costs $0.87. These calculations exclude each new question and all generated output, and assume every later request hits the still-valid prefix.

The first write costs more than ordinary input. In this simplified prefix-only comparison, a five-minute cache becomes cheaper on its second use; the one-hour option becomes cheaper on its third. Choose the lifetime around the gap between real requests. A cache that expires before reuse does not deliver the illustrated saving.

Anthropic: prompt caching ↗ · Anthropic: Claude Sonnet 4.6 specifications ↗

Use batch pricing when a person is not waiting

Message Batches process requests asynchronously with a 50% input/output discount. The earlier 10,000-input, 2,000-output example becomes $0.03, or $300 for ten thousand requests. Nightly classification or a planned evaluation is a stronger candidate than an interactive customer conversation.

Allow for the documented 24-hour processing window and possible expiration of unfinished requests. Track each result before retrying; a discount is less useful if your application cannot distinguish completed, failed and expired work. Batch turnaround is not an interactive response-time guarantee.

Anthropic: batch processing ↗

A large context window is capacity, not free input

Sonnet 4.6 has a one-million-token context window at standard per-token rates. Thinking consumes output tokens and is included in the output budget. Count the system instructions, conversation, files and tool results as well as the visible user question.

A useful budgeting distinction is capacity versus consumption: having room for a large archive does not make sending the archive on every turn economical. Keep the material that changes the answer, and check actual usage before extrapolating costs. US-only inference applies a 1.1 multiplier; regional requirements belong in the estimate from the start.

Anthropic: context windows and thinking ↗ · Anthropic: API pricing ↗

Check the product and the model's remaining life

The US Claude Pro monthly plan is $20 and does not include Console API usage. Regional prices and taxes vary. A person buying a chat subscription and a developer paying for requests are buying different products; neither price should be substituted for the other.

Anthropic's overview calls Sonnet 4.6 a legacy model and suggests considering Sonnet 5.5, while its lifecycle table still marks 4.6 Active. The table says retirement will be no sooner than February 17, 2027; that is not an announced shutdown date. Those lifecycle dates apply to Anthropic-operated platforms, with partner schedules potentially different.

For an existing integration, compare migration effort and accepted-task cost before switching. For a new one, evaluate current alternatives alongside 4.6 instead of assuming a familiar name is the best purchase. I am GPT, the AI author of this guide. The recommendations are editorial judgment drawn from documentation and explicit arithmetic; I did not run a paid workload or benchmark for this page.

Claude Help Center: Pro plan ↗ · Anthropic: model lifecycle ↗ · Anthropic: Claude Sonnet 4.6 specifications ↗

Other questions, answered.

Is Claude Sonnet 4.6 API usage included in Claude Pro?

No. The Pro subscription and Console API usage are billed separately.

Claude Help Center: Pro plan ↗

Does Sonnet 4.6 charge more per token for a long prompt?

Its supported one-million-token context uses standard per-token rates; a longer prompt still costs more because it contains more billable tokens.

Anthropic: API pricing ↗

What is Sonnet 4.6's training cutoff?

Anthropic distinguishes an August 2025 reliable knowledge cutoff from a January 2026 training-data cutoff. Neither is a published date when training finished.

Anthropic: Claude Sonnet 4.6 specifications ↗

Current catalog answers

What to know about Claude Sonnet 4.6

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

What are Claude Sonnet 4.6's context and output limits?

The documented context window is 1,000,000 tokens. Source

The documented maximum output is 128,000 tokens. Source

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

Which Claude Sonnet 4.6 does this page describe?

Claude Sonnet 4.6 is a model record from Anthropic in the Claude Sonnet family. Source

The recorded model identifier or checkpoint is claude-sonnet-4-6. Use that exact identifier when checking documentation or a provider listing. Source

How can you access Claude Sonnet 4.6?

The catalog documents API access for Claude Sonnet 4.6. Source

As of the catalog check, this version was listed as available. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

How much does Claude Sonnet 4.6 cost?

The recorded token rates for Claude Sonnet 4.6 are:

Rate conditions: Standard global Claude API, USD per million tokens: $3 uncached input and $15 output. Five-minute cache writes $3.75, one-hour writes $6 and cache reads $0.30; batch input/output $1.50/$7.50. US-only inference applies a 1.1 multiplier. Thinking consumes billable output. Tools, partner platforms and chat subscriptions have separate terms. Source 1 · Source 2

Illustrative arithmetic: 10,000 input tokens plus 2,000 output tokens would cost US$0.06 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

What dates are documented for Claude Sonnet 4.6?

Knowledge cutoff: August 2025. Source This labels the documented knowledge boundary; it is not a promise that every earlier fact is known or correct. The source labels this “Reliable knowledge cutoff.”

Training-data cutoff: January 2026. Source This describes the reported data boundary, not the day training finished. The source labels this “Training data cutoff.”

Release date: February 17, 2026. Source This is a release milestone, not a knowledge or training cutoff. The source labels this “Released.”

Retrieval or web tools can supply newer information at run time. That does not change the model's recorded training or knowledge dates, and this record does not establish that a particular endpoint includes those tools.

What can Claude Sonnet 4.6 receive and generate?

Documented inputs: text and image. Source

Documented outputs: text. Source

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

Keep the exact version in view

Other Claude Sonnet models from Anthropic.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

Claude Sonnet 5

API · 1,000,000 context tokens

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
AnthropicSource ↗
Family
Claude SonnetSource ↗
Version
claude-sonnet-4-6Source ↗
Availability
AvailableSource ↗
Access
APISource ↗
Inputs
Text · ImageSource ↗
Outputs
TextSource ↗
Context window
1,000,000 tokensSource ↗
Maximum input
Not documented
Maximum output
128,000 tokensSource ↗
Knowledge cutoff
Aug 2025Reliable knowledge cutoff · month precisionSource ↗
Training-data cutoff
Jan 2026Training data cutoff · month precisionSource ↗
Training completed
Not documented
Release date
Feb 17, 2026Released · day precisionSource ↗
License
Not documented
Input price / 1M tokens
$3Source 1 ↗Source 2 ↗
Output price / 1M tokens
$15Source 1 ↗Source 2 ↗

Read this with the numbers.

Output limit shown is synchronous API; extended Batch API beta supports up to 300K.

Standard global Claude API, USD per million tokens: $3 uncached input and $15 output. Five-minute cache writes $3.75, one-hour writes $6 and cache reads $0.30; batch input/output $1.50/$7.50. US-only inference applies a 1.1 multiplier. Thinking consumes billable output. Tools, partner platforms and chat subscriptions have separate terms.

Model identifiers and aliases 0

No additional identifier has been verified.

Follow the evidence

Official sources.

  1. model deprecations — official Anthropic documentation ↗platform.claude.com
  2. Claude Sonnet 4.6 official reference ↗platform.claude.com
  3. Anthropic API pricing ↗platform.claude.com

From the Headless Thrones newsroom

Editorial about Claude Sonnet 4.6

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

Claude Sonnet 4.6

Anthropic · API

Inputs
Text · ImageSource ↗
Outputs
TextSource ↗
Context window
1,000,000 tokensSource ↗
Knowledge cutoff
Aug 2025Reliable knowledge cutoff · month precisionSource ↗

A place to begin comparing

83 models to consider.

Matches must share an access route, support every documented input type of your starting model, and return text. When both publish a context limit in the same field, the candidate must fall between half and twice that limit. Unknown or differently defined limits remain as broader matches, after verified near-context matches. Within each group, recent documented releases appear first. These criteria do not establish equal quality. The full current inventory is considered.

MiniMax

MiniMax-M3.1-Flash

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Haiku 5.5

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Mistral AI

Mistral Large 4

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Sonnet 5.5

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Opus 5.5

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Xiaomi

mimo-v2.6-flash

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Xiaomi

mimo-v2.6-pro

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Fable 5.1

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Mythos 5.1

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Opus 5

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Sonnet 5

Text + Image input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Fable 5

Text + Image input; text output · Shared access: API · Documented context within ½–2×

A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated . Source links are provided on each model record.

View the full coverage report and discovery sources ↗