Tested on 12 benchmarks · BenchGecko score 20.9. Top scores: HellaSwag (61.9%), ARC AI2 (39.4%), GSM8K (38.6%).
BIG-Bench Hard. 23 challenging tasks from BIG-Bench where prior language models fell below average human performance.
HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.
Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.
HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.
Sentence completion requiring commonsense reasoning about physical and social situations. Tests real-world understanding.
AI2 Reasoning Challenge. Grade-school science questions requiring multi-step reasoning. Easy and Challenge sets test different difficulty levels.
Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.
- Typetext
- ContextN/A
- ReleasedJan 2024
- LicenseProprietary
- Statusbenchmark-only
Frequently Asked Questions
Key facts · as of 2026-04-09
- INTELLECT-1 by Unknown. BenchGecko score 20.9, rank 278 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
INTELLECT-1 · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-09. https://benchgecko.ai/model/intellect-1
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