Tested on 13 benchmarks · BenchGecko score 28.1. Top scores: MMLU (79.5%), Winogrande (77.0%), MATH level 5 (37.5%).
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Capture-the-flag cybersecurity challenges. Tests vulnerability analysis, reverse engineering, cryptography, and exploitation skills.
Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.
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.
- Typetext
- ContextN/A
- ReleasedJan 2024
- LicenseProprietary
- Statusbenchmark-only
Frequently Asked Questions
Key facts · as of 2026-04-09
- Claude 3 Opus by Anthropic. BenchGecko score 28.1, rank 256 of 312 scored models (normalized average of public benchmark scores).
- List price n/a input · n/a output per 1M tokens (as of 2026-04-09).
How to cite · data as of 2026-04-09
Claude 3 Opus · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-09. https://benchgecko.ai/model/claude-3-opus
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