Model Terminal

Qwen2.5-1.5B-Instruct

Qwen2.5-1.5B-Instruct is a compact 1.54-billion-parameter instruction-tuned language model from Alibaba's Qwen team, designed for general-purpose text generation, multilingual conversation, coding, and math tasks. It supports structured outputs and a 128K-token context window, making it well-suited for lightweight assistant and developer workflows. Source: supabase.

Value score
Not scored
Context
tokens
Max output
tokens
Price

Capability radar

Peer value bars

Identity

Developer
Hugging Face
Openness
Modalities
Text-generation
Release
Knowledge cutoff
Deprecation
API docs

Benchmarks

No benchmark scores yet.

Compare nearby

Pricing

Input / 1M
Output / 1M
Speed