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Thursday, October 8, 2026

Event · User reviews

Haiku 5.5: what people who tried it said

Hands-on reviews posted on X and Threads in the first day. Posts from Anthropic's official accounts and staff are left out, and both praise and criticism are included.

  1. Surprisingly good at painting with code

    They had Haiku 5.5, GPT-6 Luna and Sonnet 5.5 draw the same picture in code and posted the results side by side. At about a twentieth of Sonnet's price, the result was better than expected.

  2. Good for running many subagents at once

    Under 100K input tokens, it is 20 times cheaper than Sonnet 5.5 and fast, they said. They also shared a map demo in which many Haiku 5.5 subagents stream drawing commands to one canvas.

  3. The team uses it as Opus 5.5's helper

    Developer Addy Osmani said his team likes Haiku 5.5 as a subagent alongside Opus 5.5, and noted that its effort level can be adjusted.

  4. Better than expected, will start most work on Haiku

    Citing official tests where it beat GPT-6 Luna on knowledge work, computer use, coding and visual reasoning, they called it better than expected. They plan to start with Haiku and use a bigger model only when needed.

  5. Measured at about 200 tokens per second

    Timed in Claude Code, Haiku 5.5 was fastest at roughly 200 tokens per second, against about 100 for Sonnet and Opus. On the GPT side, Luna came close to 100 and the others ran at 20 to 30. Results may vary with the method, they added.

  6. Outside benchmarks call it 'not bad'

    They reported 43.40 on the Artificial Analysis intelligence index, around Kimi K3, and ahead of Luna in the same class.

  7. Some call it dumb

    After trying it, one user posted that it is 'insanely dumb', which drew about 150 likes. They did not say what task it failed.

  8. Cheap, light models already exist

    In a post titled 'Haiku 5.5, honest review', they asked why anyone needs it when cheap, light models are already plentiful.

  9. Has anyone actually used Haiku?

    They posted that they still don't know anyone who uses Haiku for anything, a skeptical take on how much small models get used.

More stories from the same day

  1. Haiku 5.5 costs $0.10 per million input tokens up to 100K, one tenth of Haiku 4.5
  2. Haiku 5.5 beats GPT-6 Luna on OSWorld, 72.4% to 48.9%
  3. Ten Haiku 5.5 subagents under Opus 5.5 finished in the same 13 seconds for $0.04, against $0.05 for Opus alone
  4. Summaries, conversation compaction and database queries are the jobs to give Haiku 5.5
  5. Haiku 5.5 is on the Claude Platform, Claude Code, three major clouds and OpenCode
  6. Sonnet 5.5 cache reads were halved to $0.10 per million tokens
  7. A hacker behind attacks on Korean banks asked Claude Code where to sell stolen data, CrowdStrike found
See all of today's stories →

* Summaries and publishing on this page are done by an automated agent. Check the facts against the original links.

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