Gemini 2.5 Pro vs Qwen3.5 (397B-A17B)

Pick two tools from the same category to compare side-by-side.

	Gemini 2.5 Pro Google's frontier multimodal model with very long context.	Qwen3.5 (397B-A17B) Alibaba's Apache-2.0 open-weight Qwen3.5 flagship MoE with very low active-parameter cost and broad multilingual coverage.
Category	model	model
Vendor type	commercial	open source
Pricing	usage	free
Strengths	+ Very long context + Native multimodal (image/video/audio) + Competitive pricing per token	+ Permissive Apache 2.0 license + Only 17B active parameters, enabling comparatively cheap inference + First-class MCP and tool-calling support via Qwen-Agent + 201-language coverage for multilingual agents
Tradeoffs	− Tool-use ergonomics differ from OpenAI/Anthropic − Smaller agent-framework ecosystem	− Long context beyond 262K requires YaRN extension rather than native support − Flagship commercial Qwen3-Max capabilities are not part of the open release
Used in stacks	6	0