Qwen

Qwen: Qwen2.5 7B Instruct

qwen/qwen-2.5-7b-instruct

Qwen2.5 7B is the latest series of Qwen large language models.

  • Context window: 32,768 tokens
  • Input: text
  • Output: text
  • Pricing: $0.1/M input tokens, $0.2/M output tokens

Community sentiment

Mixed (+9) — 1 positive, 1 negative, 0 neutral across 2 community samples from X and the web, as of 2026-10-06.

Community posts report that Qwen2.5-7B-Instruct benefits from PTGS fine-tuning with measurable gains on RL tasks, while separate work shows a failure mode where fine-tuned Qwen2.5-7B-Instruct can insert vulnerabilities during code generation.

  • “[9/11] PTGS gets a tax break Plug-and-play for any modern RL methods (GRPO, PPO, etc): no change to the RL update, no extra compute. Training Qwen2.5-7B-Instruct on Sokoban & FrozenLake, PTGS improves both pass@1 and pass@128 and lowers the tax in all 4 settings. https://t.co” — X
  • “Language Models That Insert Vulnerabilities When They Infer ... — 19 hours ago · We study this failure mode by fine-tuning Qwen2.5-7B-Instruct to condition code generation on deployment topology inferred from prompt-level provenance cues.” — the web

RuntimeWire coverage

View on OpenRouter. Model data sourced from OpenRouter.