Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results here #multimodal
Tested on 10 benchmarks · BenchGecko score 26.3. Top scores: MMLU (65.1%), ScienceQA (62.7%), Winogrande (48.4%).
Command R (08-2024) scores 26.2 (100% as good) at $0.15/1M input · 40% cheaper
Computer-aided design evaluation. Tests understanding of CAD concepts, 3D modeling, and engineering design principles.
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.
Science questions with multimodal context including diagrams and charts from K-12 curriculum.
Commonsense coreference resolution. Tests understanding of pronoun references in ambiguous sentences.
- Typemultimodal
- Context200K tokens (~100 books)
- ReleasedMar 2024
- LicenseProprietary
- StatusActive
- Cost / Message~$0.002
Frequently Asked Questions
Key facts · as of 2026-09-25
- Claude 3 Haiku by Anthropic. BenchGecko score 26.3, rank 261 of 312 scored models (normalized average of public benchmark scores).
- List price $0.25 input · $1.25 output per 1M tokens (as of 2026-09-25).
How to cite · data as of 2026-09-25
Claude 3 Haiku · benchmarks, pricing and providers. BenchGecko, data as of 2026-09-25. https://benchgecko.ai/model/claude-3-haiku
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP