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[r/LocalLLaMA] 96GB (V)RAM agentic coding users, gpt-oss-120b vs qwen3.5 27b/122b

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Summary

Qwen3.5 models are emerging as a strong competitor to gpt-oss-120b for agentic coding users with 96GB VRAM, offering vision capabilities, parallel tool calls, and double the context length. While Qwen3.5 may have higher quality variance and slower speeds, it represents a significant advancement in local LLM options for high-end users.

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