Anthropic releases Claude Opus 5.5
Long-running agent teams may reduce token rates, but forced tools, thinking blocks and older computer-use integrations need retesting.
Anthropic Claude Opus 5.5 launch ↗A lower-priced Opus route with a 1M context window and always-on adaptive thinking. It is a credible long-agent candidate, but orchestration behaviour and provider claims require a same-work migration test, so HubAI withholds a score.
Long-running agent teams may reduce token rates, but forced tools, thinking blocks and older computer-use integrations need retesting.
Anthropic Claude Opus 5.5 launch ↗Claude Opus 5.5 is designed for long-running agentic coding and professional knowledge work where migration changes can be tested before production. HubAI treats it as a workflow purchase rather than a novelty: the relevant question is whether it produces an acceptable result repeatedly, with controls your team can understand and a cost that remains predictable after the trial ends.
Long-running agentic coding and professional knowledge work where migration changes can be tested before production
accepted, tested code changes with lower cycle time and no increase in escaped defects
Adaptive thinking cannot be disabled and forced tool use can return an error
Assign the same bounded repository change with tests and security checks.
Bring one representative input
Run the same job three times
Measure accepted output and cost
Verify retention, model-improvement, regional processing, zero-data-retention eligibility, administrator settings and logging for the exact Anthropic, AWS, Google Cloud or Microsoft Foundry route. Do not infer that controls are identical across providers.
Claude API model claude-opus-5-5 with a one-million-token context window, 128K maximum output and adaptive thinking that cannot be disabled. Also listed through AWS, Google Cloud and Microsoft Foundry. Forced tool use and the older computer-use tool require migration checks.
Claude API · AWS Bedrock · Google Cloud · Microsoft Foundry · Claude Code · Tool and computer-use workflows
Vendor facts and HubAI opinion are separated. Sponsored placement cannot buy a higher score.
One compact record for price, access, data handling, deployment and the test that must pass before adoption.
Verify retention, model-improvement, regional processing, zero-data-retention eligibility, administrator settings and logging for the exact Anthropic, AWS, Google Cloud or Microsoft Foundry route. Do not infer that controls are identical across providers.
Claude API model claude-opus-5-5 with a one-million-token context window, 128K maximum output and adaptive thinking that cannot be disabled. Also listed through AWS, Google Cloud and Microsoft Foundry. Forced tool use and the older computer-use tool require migration checks.
Claude API · AWS Bedrock · Google Cloud · Microsoft Foundry · Claude Code · Tool and computer-use workflows
Pin Opus 5.5 in a test environment and replay representative long-running workflows. Record accepted tasks, thinking and tool orchestration changes, unsupported output, computer-use compatibility, cache use, latency, reviewer minutes and complete billed cost.
HubAI will publish a score only after the same representative tasks have been run against current alternatives. Vendor benchmarks are not treated as an editorial rating.
The subscription price is only the starting point. HubAI evaluates usage limits, failed attempts and the work needed to produce one usable result. Pricing changes frequently, so the structure and verification date matter more than a headline price.
Pricing checked for editorial use on 23 September 2026. Confirm live price, VAT, region, usage rights and cancellation terms with the vendor before purchase.
Model your own usage. HubAI separates subscription cost from retries and human review—without pretending a headline plan price tells the whole story.
Test this job with your own inputs and judge the finished result—not the first draft.
Test this job with your own inputs and judge the finished result—not the first draft.
Test this job with your own inputs and judge the finished result—not the first draft.
Act as a specialist in model ai. Ask me three questions before creating the first draft. The outcome I need is: [describe outcome].Create two approaches for [task]. Use this audience: [audience]. Respect these constraints: [constraints]. Explain the trade-off between the two approaches.Review this output against accuracy, tone, privacy, cost and usability. List the changes required before a person should approve it.Do not place confidential, personal or rights-restricted material into Claude Opus 5.5 until your organisation has reviewed its current terms, retention settings and account controls. AI output can be plausible and still wrong; regulated, financial, legal and employment decisions require qualified human review.
This is HubAI's editorial record, not the vendor's product changelog or a live uptime claim.
Use-case routes, relevant comparisons and alternatives connected to the product profile.
Entry price structure, free or trial route and buyer limitations checked for editorial use.
Verdict, best fit, strengths, limitations, prompts and governance questions structured.
Complex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume model
L6GPT-6 LunaTest pendingHigh-volume extraction, classification, transformation and first-pass agent work that needs low token cost and a large context window
G4.7Grok 4.7Test pendingLong-context coding, agentic tool use and knowledge work where teams can run a controlled same-task evaluation
Scores are editorial signals, not a universal winner. Choose around the exact job and run the same proof test.
| Product | HubAI score | Best for | Price structure | Access | Decision |
|---|---|---|---|---|---|
| Claude Opus 5.5 CURRENT | Test pending | Long-running agentic coding and professional knowledge work where migration changes can be tested before production | $4/1M input and $20/1M output at standard API rates; cache reads cost $0.20/1M, five-minute writes $5/1M and one-hour writes $8/1M; Fast mode is $8/$40 | Paid API and cloud-platform access; availability across Claude plans varies by entitlement and route | Current profile |
| GPT-6 Sol | Test pending | Complex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume model | $2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates | Metered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plans | Compare → |
| GPT-6 Luna | Test pending | High-volume extraction, classification, transformation and first-pass agent work that needs low token cost and a large context window | $0.10/1M input, $0.01/1M cached input, $0.125/1M cache write and $0.50/1M output at standard API rates; requests above 272K input use higher rates | Metered API access; gradual rollout through ChatGPT Work, Codex and eligible GitHub Copilot plans, with Luna desktop access announced for Free and Go users | Compare → |
| Grok 4.7 | Test pending | Long-context coding, agentic tool use and knowledge work where teams can run a controlled same-task evaluation | $2/1M input and $6/1M output tokens on the standard xAI API; the US regional endpoint adds 10%, while the Fast route in Cursor and Grok Build uses higher rates | Grok Build has a free starting route; public API use is metered. GitHub Copilot access requires an eligible paid plan and is rolling out gradually | Compare → |
Claude Opus 5.5 is best suited to long-running agentic coding and professional knowledge work where migration changes can be tested before production. HubAI's current verdict is: A lower-priced Opus route with a 1M context window and always-on adaptive thinking. It is a credible long-agent candidate, but orchestration behaviour and provider claims require a same-work migration test, so HubAI withholds a score.
Paid API and cloud-platform access; availability across Claude plans varies by entitlement and route. Check the official product page before buying because allowances, regions and eligibility can change.
$4/1M input and $20/1M output at standard API rates; cache reads cost $0.20/1M, five-minute writes $5/1M and one-hour writes $8/1M; Fast mode is $8/$40. The useful comparison is total cost per accepted result, including retries, limits and human correction—not the advertised entry price alone.
Compare products in the same Code AI shelf against one identical task, acceptance rule and cost window. Focus on accepted, tested code changes with lower cycle time and no increase in escaped defects.
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