Qwen2 7B Instruct: API Pricing, Context Window & Benchmarks
Qwen2 7B Instruct is a language model from Qwen, released in July 2024.
Qwen2-7B-Instruct is an instruction-tuned language model with 7 billion parameters, supporting a context length of up to 131,072 tokens.
Qwen2 7B Instruct benchmarks
Rankings
Quality Tracker
Qwen2 7B Instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Tue Jul 28 2026Qwen2 7B Instruct model size
Qwen2 7B Instruct has 7.6 billion parameters. See how it compares to other models in the same parameter range.
Qwen2 7B Instruct API
Available from the model provider
Qwen2 7B Instruct has an official provider API. It is not currently routed through the LLM Stats gateway.
Read the official API documentationQwen2 7B Instruct latency
Qwen2 7B Instruct time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Qwen2 7B Instruct examples
Recent arena outputs from Qwen2 7B Instruct, picked from the highest-ranked matchups.
Qwen2 7B Instruct license
Qwen2 7B Instruct is released under the Apache 2.0 license, which permits commercial use, has 7.6B parameters.
- License
- Apache 2.0
- Commercial use allowed
- Parameters
- 7.6B
Apache License 2.0 - allows commercial use
Qwen2 7B Instruct resources
Official sources for Qwen2 7B Instruct: api documentation, paper or system card.
Qwen2 7B Instruct vs other models
The most-compared alternatives to Qwen2 7B Instruct are Phi 4 Mini, Ministral 3 (3B Base 2512), Phi-3.5-MoE-instruct. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen2 7B Instruct
Models ranked just above and below Qwen2 7B Instruct by LLM Stats score.
FAQ
Common questions about Qwen2 7B Instruct.