Tested on 6 benchmarks · BenchGecko score 15.9. Top scores: LAMBADA (58.4%), PIQA (46.6%), ARC AI2 (37.6%).
BIG-Bench Hard. 23 challenging tasks from BIG-Bench where prior language models fell below average human performance.
Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.
Language modeling benchmark testing ability to predict the last word of passages requiring long-range context understanding.
Physical Intuition QA. Tests understanding of everyday physical interactions and commonsense physics.
AI2 Reasoning Challenge. Grade-school science questions requiring multi-step reasoning. Easy and Challenge sets test different difficulty levels.
- Typetext
- ContextN/A
- ReleasedJan 2024
- LicenseOpen Source
- Statusbenchmark-only
Frequently Asked Questions
Key facts · as of 2026-06-22
- Qwen-1_8B by Alibaba Qwen. BenchGecko score 15.9, rank 292 of 312 scored models (normalized average of public benchmark scores).
- List price n/a input · n/a output per 1M tokens (as of 2026-06-22).
How to cite · data as of 2026-06-22
Qwen-1_8B · benchmarks, pricing and providers. BenchGecko, data as of 2026-06-22. https://benchgecko.ai/model/qwen-1-8b
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