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UPDATEAnthropic2026-03-13

Anthropic Makes 1M Context Window Generally Available for Claude Opus 4.6 and Sonnet 4.6 at Standard Pricing

Key Takeaways

  • ▸1M context window now available at standard pricing with no premium multiplier, making it economically viable for long-context use cases
  • ▸Media capacity increased 6x to 600 images or PDF pages per request, enabling better document and data processing workflows
  • ▸Integration across major cloud platforms (Azure, Vertex AI, and soon Bedrock) with automatic support requiring no code changes
Sources:
Hacker Newshttps://claude.com/blog/1m-context-ga↗
Hacker Newshttps://claude.com/fr-fr/blog/1m-context-ga↗
Hacker Newshttps://news.ycombinator.com/item?id=47367541↗
Hacker Newshttps://raw.githubusercontent.com/anthropics/claude-code/refs/heads/main/CHANGELOG.md↗
Hacker Newshttps://twitter.com/alasano/status/2032505230386958546↗
Hacker Newshttps://twitter.com/claudeai/status/2032509548297343196↗
X (Twitter)https://x.com/claudeai/status/2032509548297343196/photo/1↗

Summary

Anthropic has announced general availability of the 1 million token context window for Claude Opus 4.6 and Sonnet 4.6 models on the Claude Platform, with no long-context premium applied. Users now pay standard pricing ($5/$25 per million tokens for Opus 4.6 and $3/$15 for Sonnet 4.6) across the entire context window, eliminating previous cost multipliers for longer requests. The update also expands media handling capabilities to support up to 600 images or PDF pages per request, up from 100, and removes the need for beta headers to access the extended context.

The general availability rollout includes full rate limits at every context length and is now natively available on Claude Platform, Microsoft Azure Foundry, and Google Cloud's Vertex AI, with Amazon Bedrock support coming soon. For Claude Code users with Max, Team, and Enterprise plans, the 1M context window is now automatically included with Opus 4.6, reducing the need for context compaction and enabling developers to maintain complete conversation histories during debugging and code analysis sessions. Anthropic reports strong performance metrics, with Opus 4.6 achieving 78.3% on MRCR v2 benchmarks at 1M tokens, the highest among frontier models.

  • Significant reduction in context compaction events (15% decrease reported) allows maintaining full conversation context during extended sessions

Editorial Opinion

This move democratizes long-context AI capabilities by removing the cost barrier that previously made 1M-token windows prohibitively expensive. Eliminating the long-context premium is a strategic decision that could accelerate adoption in enterprise scenarios requiring comprehensive document analysis, code review, and agentic reasoning. The combination of standard pricing, expanded media limits, and seamless cloud integration positions Claude as a compelling option for complex, context-heavy workflows that competitors may still charge premiums for.

Large Language Models (LLMs)Natural Language Processing (NLP)Generative AIAI AgentsScience & ResearchProduct Launch

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