Claude Haiku 5.5: $0.10/M Tokens, 75% Cheaper

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Anthropic launched Claude Haiku 5.5 on Wednesday, October 7, 2026 — calling it its cheapest, fastest, and most capable small model yet — with input pricing as low as $0.10 per million tokens for prompts up to 100,000 tokens, about 75% less to run than Haiku 4.5 on average. In its announcement, Anthropic positioned the model for high-volume, cost-sensitive work such as summaries, compactions, database queries, and classification, and as a coding subagent paired with Opus 5.5 or Sonnet 5.5, especially for live support and browser use.

What happened

On October 7, 2026, Anthropic said Claude Haiku 5.5 is available now on the Claude Platform (model id claude-haiku-5-5), Amazon Web Services, Google Cloud, and Microsoft Azure. Free, Pro, Max, Team, and Enterprise users can also select it on Claude.ai (web, iOS, and Android) and in Claude Code, according to Anthropic's Haiku product page.

Amazon Web Services confirmed the same day that Haiku 5.5 is live on Amazon Bedrock and Claude Platform on AWS, with a Bedrock modelId example of global.anthropic.claude-haiku-5-5, available via US, EU, AU, and JP Geo CRIS plus Global CRIS, and in GovCloud as well. AWS echoed Anthropic's framing: Opus 5.5 plans and judges, while Haiku 5.5 runs high-volume subagents in parallel.

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Key details

Pricing: $0.10/M input for short prompts

Anthropic's pricing table for Claude Haiku 5.5 (per million tokens, prompts up to / over 100k) lists cache reads at $0.01 / $0.05, cache writes at $0.125 / $0.625, input at $0.10 / $0.50, and output at $0.50 / $2.50. By comparison, Anthropic lists Haiku 4.5 at $1.00 input / $5.00 output, and Sonnet 5.5 at $2.00 / $10.00. The product page adds that teams can save up to 90% with prompt caching and 50% with batch processing.

Anthropic said Haiku 5.5 costs around 75% less to run than Haiku 4.5 on average. Its footnote clarifies that figure: the new model is priced 90% lower for requests up to 100,000 tokens and 50% lower over 100k, and that calculation also accounts for tokenizer changes (Haiku 5.5 uses a tokenizer similar to Sonnet 5.5 and Opus 5.5, so it may use slightly more tokens per task). Anthropic noted that about 90% of Haiku 4.5 requests fell into the shorter-prompt band.

Effort controls and Anthropic-reported benchmarks

Haiku 5.5 is Anthropic's first Haiku-class model with an adjustable effort setting, so users can trade cost against intelligence per task — the same control pattern Anthropic already offers on larger models. Anthropic published its own benchmark table comparing Haiku 5.5 with Haiku 4.5, GPT-6 Luna, and Sonnet 5.5 (for reference). On GDPval-AA v2.1, Anthropic reported Haiku 5.5 at 1620 versus Haiku 4.5 at 735, GPT-6 Luna at 1437, and Sonnet 5.5 at 1840. On AA-Briefcase v1.1 it reported 1578 / 614 / 1336 / 1824. On OSWorld 2.1 (offline subset) it reported 72.4% / 15.7% / 48.9% / 83.9%. On Humanity's Last Exam with no tools: 45.9% / 10.2% / — / 56.9%. On Terminal-Bench 4.0: 39.2% / 0.0% / 16.4% / 70.6%. On FrontierCode 1.1 Main: 46.4% / — / 42.4% / 52.1% (Sonnet at Xhigh). On Chartography with no tools: 46.4% / 6.4% / 29.1% / 61.6%. Those scores are Anthropic-reported; the company points readers to the Haiku 5.5 System Card for evaluation details.

Customer early tests (attributed)

Anthropic published early customer quotes. Asana's Aaron Vinh, Staff Software Engineer, said the company saw over a 30% reduction in latency for task completions and up to 2.5x faster inference per agent turn on its AI Teammates eval suite. HubSpot's Ze'ev Klapow, Distinguished Software Engineer, said Haiku 5.5 scored 92.8% averaged over three runs on HubSpot's CRM suite — the best score they had seen — and was fastest on a stale-records audit with the highest hit rate and lowest false-positive rate among models they tested.

Safety and related platform updates

Anthropic said Haiku 5.5 shows major alignment improvements versus Haiku 4.5, with fewer misaligned behaviors and lower willingness to cooperate with misuse. Cybersecurity safeguards are more restrictive than Haiku 4.5's but less restrictive than those on other recent Anthropic models: they allow a wider range of defensive tasks than Sonnet 5.5's safeguards while still blocking penetration testing and similar attacker-oriented techniques. Biology safeguards match Sonnet 5, Sonnet 5.5, and Opus 5.

Alongside the launch, Anthropic halved Sonnet 5.5 cache-read pricing to $0.10 per million tokens (from $0.20), which it said makes Sonnet 5.5 about 20% cheaper on most agentic work. It also said Max and Team monthly API credits would roll out that week — $100 for Max 5x, $200 for Max 20x, and up to $500 pooled for Team — and that Python and TypeScript SDKs were gaining computer-use and browser-use beta support. A footnote notes Haiku 5.5 is Anthropic's fastest model at each model's standard speed, though Opus Fast Mode can still be faster.

Why it matters

  • Price floor for high-volume agents: At $0.10 per million input tokens for short prompts, Anthropic is aiming Haiku 5.5 at workloads that were previously too expensive to run often — summarization, compaction, classification, and subagent loops inside larger systems.
  • Subagent pairing pattern: Both Anthropic and AWS describe a clear division of labor: Opus or Sonnet plans and judges; Haiku 5.5 executes many well-scoped steps in parallel. That architecture only works if the small model is fast and cheap enough to call repeatedly.
  • First Haiku with effort controls: Adjustable effort lets teams tune cost versus intelligence per task instead of overpaying for a single fixed setting across an entire pipeline.
  • Benchmarks are vendor-reported: Gains on GDPval-AA, OSWorld, Terminal-Bench, and FrontierCode come from Anthropic's own table. Independent reproduction and customer-specific evals will matter before production thresholds are set.
  • Cloud distribution is immediate: Same-day availability on Claude Platform, Bedrock, Google Cloud, and Azure — plus Claude.ai and Claude Code — lowers friction for teams already standardized on those stacks.

What's next

Developers can call claude-haiku-5-5 on the Claude Platform today, or use Bedrock's global.anthropic.claude-haiku-5-5 and regional CRIS profiles, per AWS. Open questions include how Haiku 5.5's tokenizer change affects real token bills versus Haiku 4.5, how effort settings map to latency and cost in production agent fleets, and whether third parties publish independent benchmarks that match Anthropic's table. Anthropic's Max/Team API credits and Sonnet 5.5 cache-read cut are separate cost levers rolling out alongside the model; teams building agents may want to factor all three into spend forecasts for the coming weeks.

FAQ

What is Claude Haiku 5.5?

Claude Haiku 5.5 is Anthropic's small, speed-focused model announced October 7, 2026. Anthropic describes it as its cheapest, fastest, and most capable Haiku yet, built for high-volume tasks and as a coding/computer-use subagent alongside Opus 5.5 and Sonnet 5.5.

How much does Claude Haiku 5.5 cost?

On the Claude Platform, Anthropic lists $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100,000 tokens, and $0.50 / $2.50 for prompts over 100k. It says the model costs about 75% less to run than Haiku 4.5 on average, with a footnote explaining the 90%/50% price cut by prompt length plus tokenizer changes.

Where can I use Claude Haiku 5.5?

Anthropic says it is available on the Claude Platform (model id claude-haiku-5-5), AWS (including Bedrock), Google Cloud, and Microsoft Azure, plus Claude.ai and Claude Code. AWS lists Bedrock access via US/EU/AU/JP Geo CRIS, Global CRIS, and GovCloud.

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