Claude Haiku 5.5 Review: Pricing, Speed Limits, Agent Use Cases and Comparison with GPT-4o mini

Claude Haiku 5.5, released October 7 2026, targets high-volume tasks that need low latency and low cost. It offers 1M-token context, improved computer-use scores, and API pricing of $0.10 per million input tokens under 100k. Teams running classification, extraction, support triage or subagent workflows now have a faster, cheaper option from Anthropic.

Claude Haiku 5.5 Pricing and Rate Limits

Pricing stays at $0.10 input and $0.50 output per million tokens for prompts up to 100k. Above that threshold the rate rises to $0.50 input and $2.50 output. Cache reads cost $0.01 per million, while 5-minute cache writes cost $0.125. Batch API users receive a 50% discount on these rates.

Rate limits on the Messages API are shared across Haiku-class models and typically allow 1,000 requests per minute with high token-per-minute caps. Cached input often does not count toward the input token limit. Exceeding limits returns a 429 error with a retry-after header. Anthropic reports that average running costs drop roughly 75% compared with Haiku 4.5 once the new tokenizer and cache options are factored in.

Monthly API credits of $100 to $500 are available on Max and Team plans. The model supports adjustable effort settings from low to max, letting users trade capability for lower token use on repetitive work. Early adopters at Asana and Box recorded 30% or greater latency cuts on high-volume agent turns.

Agent Use Cases and Performance Benchmarks

Haiku 5.5 excels at subagent roles, CRM triage, bug reporting, document Q&A and browser automation. HubSpot recorded 92.8% accuracy on its internal CRM suite, the highest score the team had seen. Asana reported noticeably quicker agent response times during project setup and task routing.

Benchmarks show clear gains over Haiku 4.5. On OSWorld 2.1 computer-use tasks the score rose from 15.7% to 72.4%. Terminal-Bench 4.0 agentic coding reached 39.2%, up from zero. GDPval-AA v2.1 knowledge work scored 1620 Elo versus 735 previously. These numbers place Haiku 5.5 ahead of GPT-6 Luna on shared agentic tests while remaining behind Sonnet 5.5.

Users can set effort to medium or high for balanced quality on extraction and summarization. The model handles text and images in, text out, with a June 2026 knowledge cutoff. It remains supported on Claude API, AWS Bedrock, Google Cloud and Azure through at least October 2027.

Claude Haiku 5.5 vs GPT-4o mini Comparison

Haiku 5.5 provides 1M context against GPT-4o mini’s 128k and supports larger maximum output. Pricing under 100k tokens is slightly lower at $0.10/$0.50 versus $0.15/$0.60. GPT-4o mini lacks the tier jump at 100k but offers a more mature ecosystem with wider third-party integrations.

Independent tests place Haiku 5.5 ahead on agentic and knowledge-work evals. It reaches 72.4% on offline computer use while GPT-4o mini trails in comparable agent benchmarks. Speed tests show 185–235 tokens per second depending on effort setting, competitive with or faster than GPT-4o mini on short, high-volume calls.

Teams already using Anthropic tooling gain immediate cost and speed benefits by routing repetitive agent work to Haiku 5.5. Those needing broader plugin support or legacy code compatibility may still prefer GPT-4o mini until ecosystem parity improves.