Claude Opus 4.6: Early Insights from Top Client Tests

Claude Opus 4.6: Early Insights from Top Client Tests

Claude

9 feb 2026

In a modern office with exposed brick walls and large windows, professionals collaborate in a tech-focused workspace, using laptops and digital tablets, surrounded by multiple digital displays showcasing platforms like Harvey and Shopify, reflective of Claude Opus 4.6: Early Insights from Top Client Tests.
In a modern office with exposed brick walls and large windows, professionals collaborate in a tech-focused workspace, using laptops and digital tablets, surrounded by multiple digital displays showcasing platforms like Harvey and Shopify, reflective of Claude Opus 4.6: Early Insights from Top Client Tests.

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Before the official release of Claude Opus 4.6 (launched 5 February 2026), four leading teams — Harvey, Bolt.new, Shopify, and Lovable — received early access. Their hands‑on testing informed final tuning, with measurable gains in long‑context reasoning, agentic workflows, and production‑readiness for real knowledge‑work tasks.

Why it matters now: Opus 4.6 pushes beyond coding into everyday business tasks (docs, sheets, slides), introduces stronger agent orchestration, and adds a beta 1M‑token context option alongside a 200k default — helping teams consolidate workflows in fewer tools with higher accuracy and fewer retries.

Claude Opus 4.6 was tested pre‑launch by Harvey, Bolt.new, Shopify, and Lovable. Their feedback shaped the final release, which improves long‑context reasoning, agentic coding, and end‑to‑end task execution. Early users reported smoother operations, higher output quality, and fewer revisions across legal, ecommerce, engineering, and design workflows.

What’s new in Claude Opus 4.6

  • Long‑context performance: 200k context window; 1M‑token context (beta) for multi‑document work and retrieval across lengthy threads.

  • Agentic workflows: Improved planning, tool‑calling and sub‑agent “team” orchestration for longer, multi‑step tasks.

  • Knowledge‑work readiness: Better reliability in documents, spreadsheets, and presentations; fewer back‑and‑forth iterations.

  • Coding & debugging: Stronger root‑cause analysis, codebase navigation, and multi‑language refactors; better adherence to instructions over long sessions.

  • Safety & governance: Expanded evaluations and lower over‑refusal rates versus prior Opus‑class models.

What early customers discovered

Harvey (legal AI): Broke 90% on internal legal‑work evals and raised the quality bar on complex reasoning. Lawyers noted more analytical, “thinking” outputs suitable for BigLaw‑grade tasks.
Bolt.new (developer platform): Diagnosed stubborn bugs on first pass; handled large codebases and design‑system tasks; one‑shot complex builds that previously needed multiple attempts.
Shopify (assistants & platform engineering): Followed intent with minimal prompting, anticipated next steps, and completed large refactors (e.g., TypeScript → Ruby) while validating against tests.
Lovable (design‑forward apps): Marked uplift in design quality and autonomy; engineers reported the model “goes further” on difficult, multi‑constraint app builds and supports in‑tool testing.

Takeaway: Across different domains, teams reported fewer retries, better planning, and cleaner, production‑ready outputs.

Practical applications you can ship now

  • Legal workflows: Draft → cite‑check → risk notes → partner‑style revisions in one chain; use sub‑agents for retrieval and redlining.

  • Ecommerce ops: Migrate internal libraries between languages, auto‑generate admin UI changes, and build product‑ops assistants that reason over large docs.

  • Engineering velocity: Spin up agent teams for bug triage, refactors, and test generation; let models plan, branch, and open PRs with human sign‑off.

  • Design & prototyping: Translate multi‑layered designs to code, generate interactive prototypes, and iterate directly in your design/dev tools.

Quick comparison: Opus 4.6 vs 4.5 (at a glance)

  • Context handling: Holds more details with less “context rot”; better retrieval of buried information in long threads.

  • Instruction fidelity: More consistent adherence over long‑running sessions.

  • Autonomy: Improved initiative on multi‑step tasks; less micromanagement required.

  • Safety posture: Wider, deeper evaluations without sacrificing capability.

FAQs

What is Claude Opus 4.6?
The latest Claude frontier model, tuned for complex, multi‑step tasks across coding and knowledge work, with 200k context and a 1M‑token context option in beta.

Who tested Opus 4.6 pre‑launch?
Four early‑access teams: Harvey, Bolt.new, Shopify, and Lovable.

What improvements did they see?
Higher pass‑rates on internal evals, faster bug diagnosis, better instruction‑following, and more autonomous execution across long tasks.

Does it still help with documents and spreadsheets?
Yes. Opus 4.6 was tuned to reduce rewrites in docs, sheets, and slides, making it more production‑ready for daily knowledge work.

How is safety handled?
Anthropic expanded testing for misaligned behaviours and improved refusal balance, while adding new guardrails in sensitive capability areas (e.g., cybersecurity).

Before the official release of Claude Opus 4.6 (launched 5 February 2026), four leading teams — Harvey, Bolt.new, Shopify, and Lovable — received early access. Their hands‑on testing informed final tuning, with measurable gains in long‑context reasoning, agentic workflows, and production‑readiness for real knowledge‑work tasks.

Why it matters now: Opus 4.6 pushes beyond coding into everyday business tasks (docs, sheets, slides), introduces stronger agent orchestration, and adds a beta 1M‑token context option alongside a 200k default — helping teams consolidate workflows in fewer tools with higher accuracy and fewer retries.

Claude Opus 4.6 was tested pre‑launch by Harvey, Bolt.new, Shopify, and Lovable. Their feedback shaped the final release, which improves long‑context reasoning, agentic coding, and end‑to‑end task execution. Early users reported smoother operations, higher output quality, and fewer revisions across legal, ecommerce, engineering, and design workflows.

What’s new in Claude Opus 4.6

  • Long‑context performance: 200k context window; 1M‑token context (beta) for multi‑document work and retrieval across lengthy threads.

  • Agentic workflows: Improved planning, tool‑calling and sub‑agent “team” orchestration for longer, multi‑step tasks.

  • Knowledge‑work readiness: Better reliability in documents, spreadsheets, and presentations; fewer back‑and‑forth iterations.

  • Coding & debugging: Stronger root‑cause analysis, codebase navigation, and multi‑language refactors; better adherence to instructions over long sessions.

  • Safety & governance: Expanded evaluations and lower over‑refusal rates versus prior Opus‑class models.

What early customers discovered

Harvey (legal AI): Broke 90% on internal legal‑work evals and raised the quality bar on complex reasoning. Lawyers noted more analytical, “thinking” outputs suitable for BigLaw‑grade tasks.
Bolt.new (developer platform): Diagnosed stubborn bugs on first pass; handled large codebases and design‑system tasks; one‑shot complex builds that previously needed multiple attempts.
Shopify (assistants & platform engineering): Followed intent with minimal prompting, anticipated next steps, and completed large refactors (e.g., TypeScript → Ruby) while validating against tests.
Lovable (design‑forward apps): Marked uplift in design quality and autonomy; engineers reported the model “goes further” on difficult, multi‑constraint app builds and supports in‑tool testing.

Takeaway: Across different domains, teams reported fewer retries, better planning, and cleaner, production‑ready outputs.

Practical applications you can ship now

  • Legal workflows: Draft → cite‑check → risk notes → partner‑style revisions in one chain; use sub‑agents for retrieval and redlining.

  • Ecommerce ops: Migrate internal libraries between languages, auto‑generate admin UI changes, and build product‑ops assistants that reason over large docs.

  • Engineering velocity: Spin up agent teams for bug triage, refactors, and test generation; let models plan, branch, and open PRs with human sign‑off.

  • Design & prototyping: Translate multi‑layered designs to code, generate interactive prototypes, and iterate directly in your design/dev tools.

Quick comparison: Opus 4.6 vs 4.5 (at a glance)

  • Context handling: Holds more details with less “context rot”; better retrieval of buried information in long threads.

  • Instruction fidelity: More consistent adherence over long‑running sessions.

  • Autonomy: Improved initiative on multi‑step tasks; less micromanagement required.

  • Safety posture: Wider, deeper evaluations without sacrificing capability.

FAQs

What is Claude Opus 4.6?
The latest Claude frontier model, tuned for complex, multi‑step tasks across coding and knowledge work, with 200k context and a 1M‑token context option in beta.

Who tested Opus 4.6 pre‑launch?
Four early‑access teams: Harvey, Bolt.new, Shopify, and Lovable.

What improvements did they see?
Higher pass‑rates on internal evals, faster bug diagnosis, better instruction‑following, and more autonomous execution across long tasks.

Does it still help with documents and spreadsheets?
Yes. Opus 4.6 was tuned to reduce rewrites in docs, sheets, and slides, making it more production‑ready for daily knowledge work.

How is safety handled?
Anthropic expanded testing for misaligned behaviours and improved refusal balance, while adding new guardrails in sensitive capability areas (e.g., cybersecurity).

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Generación
Digital

Oficina en el Reino Unido
33 Queen St,
Londres
EC4R 1AP
Reino Unido

Oficina en Canadá
1 University Ave,
Toronto,
ON M5J 1T1,
Canadá

Oficina NAMER
77 Sands St,
Brooklyn,
NY 11201,
Estados Unidos

Oficina EMEA
Calle Charlemont, Saint Kevin's, Dublín,
D02 VN88,
Irlanda

Oficina en Medio Oriente
6994 Alsharq 3890,
An Narjis,
Riyadh 13343,
Arabia Saudita

UK Fast Growth Index UBS Logo
Financial Times FT 1000 Logo
Febe Growth 100 Logo (Background Removed)


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