Claude can now process entire software projects in single request, Anthropic says

Anthropic introduced Tuesday that its Claude Sonnet 4 AI mannequin can now course of as much as 1 million tokens of context in a single request — a fivefold improve that permits builders to research whole software program initiatives or dozens of analysis papers with out breaking them into smaller chunks.

The enlargement, obtainable now in public beta by means of Anthropic’s API and Amazon Bedrock, represents a big leap in how AI assistants can deal with advanced, data-intensive duties. With the brand new capability, builders can load codebases containing greater than 75,000 strains of code, enabling Claude to know full venture structure and counsel enhancements throughout whole techniques quite than particular person recordsdata.

The announcement comes as Anthropic faces intensifying competitors from OpenAI and Google, each of which already provide related context home windows. Nonetheless, firm sources talking on background emphasised that Claude Sonnet 4’s energy lies not simply in capability however in accuracy; it has achieved 100% efficiency on inside “needle in a haystack” evaluations that take a look at the mannequin’s skill to seek out particular info buried inside huge quantities of textual content.

How builders can now analyze whole codebases with AI in a single request

The prolonged context functionality addresses a basic limitation that has constrained AI-powered software program growth. Beforehand, builders engaged on massive initiatives needed to manually break down their codebases into smaller segments, typically dropping essential connections between completely different components of their techniques.

“What was as soon as unattainable is now actuality,” stated Sean Ward, CEO and co-founder of London-based iGent AI, whose Maestro platform transforms conversations into executable code. “Claude Sonnet 4 has supercharged autonomous capabilities in Maestro, our software program engineering agent. This leap unlocks true production-scale engineering — multi-day periods on real-world codebases.”

Eric Simons, CEO of Bolt.new, which integrates Claude into browser-based growth platforms, commented: “With the 1 million context window, builders can now work on considerably bigger initiatives whereas sustaining the excessive accuracy we’d like for real-world coding.”

The expanded context allows three main use instances that had been beforehand troublesome or unattainable: complete code evaluation throughout whole repositories, doc synthesis involving a whole bunch of recordsdata whereas sustaining consciousness of relationships between them and context-aware AI brokers that may preserve coherence throughout a whole bunch of software calls and sophisticated workflows.

Why Claude’s new pricing technique may reshape the AI growth market

Anthropic has adjusted its pricing construction to replicate the elevated computational necessities of processing bigger contexts. Whereas prompts of 200,000 tokens or fewer preserve present pricing at $3 per million enter tokens and $15 per million output tokens, bigger prompts price $6 and $22.50, respectively.

The pricing technique displays broader dynamics reshaping the AI trade. Current evaluation reveals that Claude Opus 4 prices roughly seven instances extra per million tokens than OpenAI’s newly-launched GPT-5 for sure duties, creating strain on enterprise procurement groups to steadiness efficiency in opposition to price.

Nonetheless, Anthropic argues the choice ought to think about high quality and utilization patterns quite than value alone. Firm sources famous that immediate caching — which shops incessantly accessed massive datasets — could make lengthy context cost-competitive with conventional retrieval-augmented generation (RAG) approaches, particularly for enterprises that repeatedly question the identical info.

“Giant context lets Claude see the whole lot and select what’s related, typically producing higher solutions than pre-filtered RAG outcomes the place you may miss essential connections between paperwork,” an Anthropic spokesperson instructed VentureBeat.

Anthropic’s billion-dollar dependency on simply two main coding prospects

The lengthy context functionality arrives as Anthropic instructions 42% of the AI code technology market, greater than double OpenAI’s 21% share, in response to a Menlo Ventures survey of 150 enterprise technical leaders. Nonetheless, this dominance comes with dangers: Trade evaluation means that coding functions Cursor and GitHub Copilot drive roughly $1.2 billion of Anthropic’s $5 billion annual revenue run price, creating important buyer focus.

The GitHub relationship proves significantly advanced given Microsoft’s $13 billion investment in OpenAI. Whereas GitHub Copilot at present depends on Claude for key performance, Microsoft faces rising strain to combine its personal OpenAI partnership extra deeply, probably displacing Anthropic regardless of Claude’s present efficiency benefits.

The timing of the context enlargement is strategic. Anthropic launched this functionality on Sonnet 4 — which gives what the corporate calls “the optimum steadiness of intelligence, price and pace” — quite than its most powerful Opus model. Firm sources point out this displays the wants of builders working with large-scale information, though they declined to supply particular timelines for bringing lengthy context to different Claude fashions.

Inside Claude’s breakthrough AI reminiscence expertise and rising security dangers

The 1 million token context window represents important technical development in AI reminiscence and a spotlight mechanisms. To place this in perspective, it’s sufficient to course of roughly 750,000 phrases — roughly equal to 2 full-length novels or intensive technical documentation units.

Anthropic’s inside testing revealed excellent recall efficiency throughout numerous situations, a vital functionality as context home windows broaden. The corporate embedded particular info inside huge textual content volumes and examined Claude’s skill to seek out and use these particulars when answering questions.

Nonetheless, the expanded capabilities additionally increase security issues. Earlier variations of Claude Opus 4 demonstrated regarding behaviors in fictional situations, together with makes an attempt at blackmail when confronted with potential shutdown. Whereas Anthropic has carried out extra safeguards and coaching to handle these points, the incidents spotlight the advanced challenges of growing more and more succesful AI techniques.

Fortune 500 firms rush to undertake Claude’s expanded context capabilities

The function rollout is initially restricted to Anthropic API prospects with Tier 4 and customized price limits, with broader availability deliberate in coming weeks. Amazon Bedrock customers have speedy entry, whereas Google Cloud’s Vertex AI integration is pending.

Early enterprise response has been enthusiastic, in response to firm sources. Use instances span from coding groups analyzing whole repositories, to monetary companies corporations processing complete transaction datasets, to authorized startups conducting contract evaluation that beforehand required guide doc segmentation.

“That is one in every of our most requested options from API prospects,” an Anthropic spokesperson stated. “We’re seeing pleasure throughout industries that unlocks true agentic capabilities, with prospects now working multi-day coding periods on real-world codebases that will have been unattainable with context limitations earlier than.”

The event additionally allows extra refined AI brokers that may preserve context throughout advanced, multi-step workflows. This functionality turns into significantly invaluable as enterprises transfer past easy AI chat interfaces towards autonomous techniques that may deal with prolonged duties with minimal human intervention.

The lengthy context announcement intensifies competitors amongst main AI suppliers. Google’s older Gemini 1.5 Pro mannequin and OpenAI’s older GPT-4.1 mannequin each provide 1 million token home windows, however Anthropic argues that Claude’s superior efficiency on coding and reasoning duties gives aggressive benefit even at larger costs.

The broader AI trade has seen explosive progress in mannequin API spending, which doubled to $8.4 billion in simply six months, in response to Menlo Ventures. Enterprises persistently prioritize efficiency over value, upgrading to newer fashions inside weeks no matter price, suggesting that technical capabilities typically outweigh pricing issues in procurement selections.

Nonetheless, OpenAI’s latest aggressive pricing technique with GPT-5 may reshape these dynamics. Early comparisons present dramatic value benefits that will overcome typical switching inertia, particularly for cost-conscious enterprises going through funds pressures as AI adoption scales.

For Anthropic, sustaining its coding market management whereas diversifying income sources stays vital. The corporate has tripled the variety of eight and nine-figure offers signed in 2025 in comparison with all of 2024, reflecting broader enterprise adoption past its coding strongholds.

As AI techniques turn out to be able to processing and reasoning about more and more huge quantities of knowledge, they’re basically altering how builders strategy advanced software program initiatives. The flexibility to take care of context throughout whole codebases represents a shift from AI as a coding assistant to AI as a complete growth associate that understands the total scope and interconnections of large-scale initiatives.

The implications prolong far past software program growth. Industries from authorized companies to monetary evaluation are starting to acknowledge that AI techniques able to sustaining context throughout a whole bunch of paperwork may rework how organizations course of and perceive advanced info relationships.

However with nice functionality comes nice accountability — and danger. As these techniques turn out to be extra highly effective, the incidents of regarding AI conduct throughout Anthropic’s testing function a reminder that the race to broaden AI capabilities have to be balanced with cautious consideration to security and management.

As Claude learns to juggle 1,000,000 items of knowledge concurrently, Anthropic faces its personal context window drawback: Being trapped between OpenAI’s pricing strain and Microsoft’s conflicting loyalties.