Claude Opus 4.6 and Sonnet 4.6 now offer a 1M context window at standard pricing; it is the default for Claude Code Max, Team, and Enterprise users on Opus 4.6
Standard pricing now applies across the full 1M window for both models, with no long-context premium. Media limits expand to 600 images or PDF pages.
Anthropic
Context & Ripple Effects
Anthropic introduced the 1M-token window for Sonnet 4.6 as a beta capability, while Opus 4.6 paired the same scale with coding and agent-oriented positioning. This update turns that earlier beta long-context capability into a standard-priced offering across both models.
The change matters because the large window is now the default for a defined set of Claude Code and business users on Opus 4.6, rather than an exceptional access mode. Expanded image and PDF-page limits also make the window more usable for document-heavy workflows.
First-order effects
Claude Opus 4.6 and Sonnet 4.6 users can use the full 1M-token window without a separate long-context price premium; Opus 4.6 makes it the default for Claude Code Max, Team, and Enterprise users.
Teams handling large document sets or visual materials can place more source material in one request, up to the new 600-image or PDF-page limit.
Second-order effects
Long-context application builders can revisit workflows that previously had to split, summarize, or selectively retrieve material to control premium context costs.
Other model providers face more pressure to compete on the usable cost of large-context access, not only on their headline context-window size.
Third-order effects
If standard-priced million-token access persists, context capacity may shift from a metered premium feature toward a baseline expectation in coding and enterprise AI products.
That would move product differentiation toward how reliably systems manage, select, and act on large inputs—rather than simply advertising maximum context capacity.
The trend: This is part of the shift from large context windows as a costly model specification to context as a routinely available application resource.
🚨Claude just expanded its context window to 1M tokens > the context window increased 5× > you can load massive datasets > up to 600 images or PDFs in a single request > even entire repositories, including on the free model This means the model can now keep almost the entire [vide…
Tons of improvements shipped with this one: - Opus 4.6 1M is now the default Opus model for Claude Code users on Max, Team, and Enterprise plans. - No more long context price increase in the API. - No beta header required in the API. - Include up to 600 images in one request.
I expect a lot more remarkable plots like this showing how fast the frontier models are progessing. Benchmarks aren't always everything, but hillclimbing is happening so fast.
My prediction is that we will get bigger and bigger context window. It's mostly an engineering and cost challenge to go from 1M to 10M context window with accurate understanding. So RAG is...
Claude Opus and Sonnet finally got 1M context window. > can load entire codebases, 1000+ pages, 600 images/pdfs pages - all at once with minimal context loss. > at this scale, GPT-5 drops to 36% accuracy, Gemini to 25%, but Claude stays at 78% we're maybe 40% to AGI now. [video]
Anthropic 1M context windows are now GA. FOR STANDARD PRICING I hope this sets a precedence. I'm interested to hear your experiences on pushing past the 200K mark.
Omg they buried the lead!! 1M context is now fully included in Claude Code for Max plans - NO extra usage cost - NO cost multiplier Boys and girls is time to get cooking /model claude-opus-4-6[1m]
This is massive Reduces coding errors as your full code base can be ingested Openclaw compaction happens less often (more memory) Outperforms all other frontier models substantially
let's fucking go - now anyone using claude can load an entire codebase, 600 images or entire AI agents into a *single prompt* this means claude will have: better understanding, context retrieval and memory around the things you want to talk about context window used to be
> 1M context window Load your entire codebase. Load hundreds of PDFs. Load 600 images in one request. And people still think AI is just a chatbot [video]
the removal of the price premium on 1M context suggests a real innovation has happened. my understanding was the cost to process goes up with the square of the number of tokens — was just wondering earlier how much of agentic tooling is just a workaround for lack of long contex…