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Gemini vs Qwen: Complete Comparison 2026

Choosing between Gemini and Qwen? We compare both tools across features, pricing, pros and cons to help you decide which is the better fit in 2026.

Gemini9.2

Google DeepMind · Chatbots & LLMs, Coding, Writing

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel line. Its standout feature is an enormous context window of up to one to two million tokens, ideal for analysing long videos, codebases and document sets. Gemini blends Google's real-time knowledge with strong reasoning and is available free in many products.

Qwen8.6

Alibaba Cloud · Chatbots & LLMs, Coding

Qwen is Alibaba's series of open-weight models spanning chat, coding, vision and math. The lineup is among the strongest open releases, with excellent multilingual ability and competitive benchmark scores. Qwen models are widely used across Asia and increasingly worldwide for self-hosted and API-based deployments.

Key differences at a glance

  • •Gemini scores higher overall (9.2 vs 8.6).
  • •Both start at $20/mo (Gemini) and Pay per token (Qwen).
  • •Context windows differ: Gemini offers 1M-2M tokens, Qwen offers 128K tokens.
  • •Gemini leans on massive context window.
  • •Qwen leans on top-tier open model quality.

Side-by-side comparison

FeatureGeminiGoogle DeepMindQwenAlibaba Cloud
Quality score9.2 / 108.6 / 10
Starting price$20/moPay per token
Free tierYes — Free tier availableYes — Free and open weights
API input price$1.5 / 1M tokens$0.32 / 1M tokens
API output price$9 / 1M tokens$1.28 / 1M tokens
SpeedFastFast
Context window1M-2M tokens128K tokens
CategoriesChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding
Key features
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
  • Open-weight chat, coder and vision models
  • Strong multilingual support
  • Long context variants
  • Competitive coding performance
Pros
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
  • + Top-tier open model quality
  • + Excellent multilingual coverage
  • + Specialised coder and math variants
Cons
  • − Quality can be inconsistent on edge cases
  • − Privacy concerns for some users
  • − Documentation skews toward Chinese
  • − Hosted API data-residency considerations

Gemini

Choose Gemini if you want massive context window and a free tier to start.

Qwen

Choose Qwen if you want top-tier open model quality and a free tier to start.

Pricing comparison

Gemini
$20/mo
API: $1.5 in / $9 out per 1M tokens
Qwen
Pay per token
API: $0.32 in / $1.28 out per 1M tokens
查看即時 API 價格數據 → llmprice.app

The verdict

Overall, Gemini edges ahead with a quality score of 9.2 versus 8.6 for Qwen. Choose Gemini if you want massive context window. That said, Qwen is the better pick when top-tier open model quality matters most — so the right answer depends on your priorities and budget.

Try Gemini →Try Qwen →

Frequently asked questions

Q. Which is better, Gemini or Qwen?

On our scoring, Gemini edges ahead (9.2/10), but the right pick depends on your priorities and budget — see the breakdown above.

Q. Is Gemini or Qwen cheaper?

Gemini starts at $20/mo and Qwen at Pay per token. Check current rates before committing.

Q. Can I use Gemini and Qwen together?

Yes — many teams use more than one AI tool, picking Gemini for some tasks and Qwen for others where it's stronger.