Claude Haiku 5.5 Guide on magicdoor.ai

Direct answer: Claude Haiku 5.5 is Anthropic's lower-cost, latency-sensitive model for focused tasks such as extraction, classification and short drafts. On magicdoor.ai, choose it manually for a Claude first pass, then switch to Sonnet 5.5 or Opus 5.5 when a harder turn merits the additional cost. Haiku 5.5 is in the merged model registry; check the live model directory and your picker for deployment availability before use.

Fact-checked October 8, 2026 against Anthropic's launch and model documentation. The registry includes Haiku 5.5, but deployment availability and paid inference have not been verified here.

Price and limits

ModelInput / output per million tokensImportant difference
Claude Haiku 5.5$0.10 / $0.50 up to 100K input tokens; $0.50 / $2.50 aboveAnthropic long-context tier applies to the full request above 100K input tokens
GPT-6 Luna$0.10 / $0.50 baseOpenAI long-context tier begins above 272K input tokens
Claude Sonnet 5.5$2 / $10 baseMore expensive Claude option for demanding work

Haiku cache reads cost $0.01 / $0.05 per million tokens and five-minute writes $0.125 / $0.625 at the respective short/long input tiers. Those are not the same as uncached input. The context window is 1 million tokens and maximum output 128,000 tokens per Anthropic's model overview; these are provider limits, not a promise that every Magicdoor workflow accepts a full window. The model cost guide covers other models and usage billing.

For an uncached illustrative exchange with 10,000 input and 2,000 output tokens, both Haiku 5.5 and GPT-6 Luna have a base token cost of $0.002 (0.01 × $0.10 + 0.002 × $0.50), before any other charges. At 120,000 input and 2,000 output, Haiku's long-context tier makes its token cost $0.065 (0.12 × $0.50 + 0.002 × $2.50). Actual charges vary with token mix, cache hits and product billing. The two models are not interchangeable just because their short-prompt base rates match.

Which should you choose?

  • Short, focused Claude tasks: try Haiku for structured extraction, classification or a first draft. Check factual claims against source material.
  • OpenAI-specific features: choose GPT-6 Luna when the task needs an OpenAI route or its code interpreter. Haiku is not a substitute for those tools.
  • Complex coding or higher-stakes synthesis: compare with Sonnet 5.5 or Opus 5.5 and review the result; do not infer a universal quality ranking from one chart.
  • Long inputs: estimate the entire request, including conversation history, before choosing by price. Haiku's tier changes above 100K input tokens.

Anthropic reports 39.2% for Haiku 5.5 versus 16.4% for GPT-6 Luna on its Terminal-Bench 4.0 setup, and 72.4% versus 48.9% on the OSWorld 2.1 offline subset in its launch evaluation; it reports Sonnet 5.5 at 70.6% and 83.9% respectively. These are vendor-run results, not independent or Magicdoor measurements. See Anthropic's system card for evaluation details. A task in your workspace may differ substantially.

Try a fair comparison

  1. Open the model directory and check the current picker before assuming launch availability.
  2. If both are available in your picker, run a bounded, representative task with Haiku 5.5 and GPT-6 Luna; keep the source material and acceptance criteria the same.
  3. Review correctness, edits required, time, and the actual usage charge. Switch models mid-conversation when the next turn changes, while noting that saved context can affect compatibility and cost.

FAQ

How much does Claude Haiku 5.5 cost on magicdoor.ai?

Standard requests with up to 100,000 input tokens cost $0.10 per million input tokens and $0.50 per million output tokens. Above 100,000 input tokens, the whole request uses $0.50 input and $2.50 output rates. Cache reads and writes have separate rates.

Is Claude Haiku 5.5 cheaper than GPT-6 Luna?

Their base input and output token rates match at $0.10 and $0.50 per million. Their long-context thresholds and caching rules differ, so compare an actual request rather than assuming identical charges.

Does Anthropic's benchmark prove Haiku 5.5 is best for my work?

No. The published results are Anthropic-run evaluations with specific settings and tasks, not independent Magicdoor measurements or a guarantee for your workflow. Test a representative prompt and review the answer.

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