Qwen image text to text model. 1523K downloads on HuggingFace.
Tested on 11 benchmarks · BenchGecko score 64.9. Top scores: JSQuAD (89.9%), JCommonsenseQA (87.8%), JNLI (74.4%).
HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.
HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.
HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.
HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.
- Typeimage-text-to-text
- ContextN/A
- ReleasedAug 2024
- LicenseOpen Source
- StatusActive
Frequently Asked Questions
Key facts · as of 2026-04-09
- Qwen2 VL 7B Instruct by Alibaba. BenchGecko score 64.9, rank 58 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
Qwen2 VL 7B Instruct · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-09. https://benchgecko.ai/model/qwen-qwen2-vl-7b-instruct
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