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2026-05-17 🧭 Daily News

Opus 4.7 Default in Fast Mode, Plugin Upgrades & Anthropic Tops OpenAI in Business Adoption

Opus 4.7 Default in Fast Mode, Plugin Upgrades & Anthropic Tops OpenAI in Business Adoption — visual for 2026-05-17

🧭 Claude Code v2.1.142: Opus 4.7 Is Now the Fast Mode Default

Claude Code v2.1.142, released May 14, quietly lands one of the more significant model-default changes since Fast Mode launched: Opus 4.7 is now the default model for Fast Mode sessions, replacing Opus 4.6. Opus 4.7 — released on April 16, 2026 — brings native 1 million token context (no preview flag), a new xhigh effort level, 13% improvement in coding-benchmark task resolution, and 3.75 MP image support. Since pricing is unchanged ($5/M input · $25/M output), the switch to a more capable model costs nothing extra.

What else shipped in v2.1.142

Opting back to Opus 4.6 in Fast Mode

If your workflows were calibrated to Opus 4.6's specific output style in Fast Mode — for instance, you have eval harnesses with expected output patterns — you can pin to 4.6 with one environment variable:

export CLAUDE_CODE_OPUS_4_6_FAST_MODE_OVERRIDE=1

That said, Opus 4.7 is a strict improvement on coding tasks with identical pricing. Most teams should leave the default alone and benefit from the upgrade automatically. Review your eval baseline against 4.7 output before pinning to 4.6 long-term.

Claude Code v2.1.142 Opus 4.7 Fast Mode plugins MCP SKILL.md

🧭 Claude Code v2.1.143: Plugin Marketplace Gets Cost Estimates, Dependency Guards & PowerShell Improvements

Released May 15, v2.1.143 continues the plugin ecosystem buildout started in v2.1.142, adding two features that make the marketplace practical for production use: projected context cost estimates in the browse pane, and plugin dependency enforcement that prevents you from accidentally breaking a plugin's dependencies.

Plugin marketplace: cost estimates and dependency safety

Other notable changes

How to read the new cost estimates

The per-turn token estimate in /plugin browse represents the overhead the plugin adds to each conversation turn — typically from system-prompt injections, tool definitions, and background context. The per-invocation number is the expected cost when the plugin's main tool or skill is actually called. A plugin showing "~800 tokens/turn · ~2,400 tokens/call" on a 200k-context session is modest; one showing "~15,000 tokens/turn" deserves scrutiny before use in high-frequency agentic loops.

Claude Code v2.1.143 plugin marketplace context cost PowerShell worktree Windows

🧭 Ramp Data: Anthropic Now Has More Business Customers Than OpenAI — 34.4% vs 32.3%

According to spend data compiled by corporate fintech platform Ramp, Anthropic has overtaken OpenAI in business customer penetration for the first time. As of May 2026, 34.4% of Ramp's business clients are paying Anthropic customers, compared to 32.3% for OpenAI. Because Ramp measures actual corporate card and invoice spend — not self-reported surveys — the data represents real purchasing decisions made by real finance and engineering teams.

Why this milestone matters

What to watch next

Ramp data lags real-world adoption by 30–60 days (billing cycles) and reflects only Ramp's client base — skewed toward growth-stage tech companies. Broader market surveys from Gartner and IDC (typically Q3 reports) will show whether this pattern holds across the Fortune 500. For now, Ramp is one of the most reliable leading indicators of where engineering teams are actually spending, and the signal is clear: Anthropic's developer-first strategy is converting into measurable business adoption at scale.

Ramp market share business adoption OpenAI enterprise developer-first
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