AI Model Timeline

Tracking the accelerating release frequency of frontier AI models.

Claude Haiku 4.5

Anthropic·

LLMssmallcloud

Overview

Ultra-fast, edge-capable model.

Capabilities and innovations

On-device potentialSub-10ms latencyCost efficiency

Benchmarks

BenchmarkScoreSource
GPQA Diamond75.2%unsourced
Humanity’s Last Exam (no tools)21.3%unsourced
SWE-bench Verified51.4%unsourced
MMLU87.2%unsourced
  • SWE-bench Pro: not reported by the vendor
  • MMLU-Pro: not reported by the vendor
  • Terminal-Bench 2.x: benchmark did not exist at release
  • MMMU-Pro: benchmark did not exist at release

Links

More from Anthropic

Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.