Tested on 18 benchmarks · BenchGecko score 24.5. Top scores: HELM — IFEval (79.2%), HELM — WildBench (76.0%), Lech Mazur Writing (73.5%).
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.
Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.
Stanford HELM WildBench evaluation. Tests reasoning on challenging real-world tasks.
Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.
Stanford HELM evaluation of mathematical reasoning across diverse problem types.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
- Typetext
- ContextN/A
- ReleasedJan 2024
- LicenseProprietary
- Statusbenchmark-only
Frequently Asked Questions
Key facts · as of 2026-05-03
- Claude 3.5 Haiku by Anthropic. BenchGecko score 24.5, rank 267 of 312 scored models (normalized average of public benchmark scores).
- List price n/a input · n/a output per 1M tokens (as of 2026-05-03).
How to cite · data as of 2026-05-03
Claude 3.5 Haiku · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/claude-3-5-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