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LLM ComparisonGemini 3.1 ProQwen-Long

Gemini 3.1 Pro vs Qwen-Long

Compare Gemini 3.1 Pro and Qwen-Long. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGemini 3.1 ProQwen-Long
ProviderGoogleAlibaba Cloud
Model Typetexttext
Context Window1,048,576 tokens10,000,000 tokens
Input Cost
$4.00/ 1M tokens
$0.07/ 1M tokens
Output Cost
$18.00/ 1M tokens
$0.29/ 1M tokens

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Strengths & Best Use Cases

Gemini 3.1 Pro

Google

1. Google's most advanced reasoning Gemini model

  • Designed to solve complex problems across multimodal inputs, including text, audio, images, video, PDFs, and full code repositories.
  • Google highlights improved software engineering behavior, better agentic performance, and stronger usability in domains like finance and spreadsheets.

2. Large multimodal context with substantial output room

  • Supports a 1,048,576 token input context window for large repositories, long documents, and multi-source workflows.
  • Allows up to 65,536 output tokens for longer answers, plans, and code generations.

3. More efficient thinking with expanded controls

  • Improves token efficiency and reasoning performance across use cases.
  • Adds the MEDIUM thinking_level option to better balance cost, speed, and quality.

4. Strong support for production agents

  • Supports grounding with Google Search, code execution, function calling, structured outputs, context caching, RAG, and chat completions.
  • Also offers a custom-tools endpoint tuned for agentic workflows that mix bash-like tools with custom code tools.

Qwen-Long

Alibaba Cloud

1. Extremely long context window

  • Up to 10 million tokens.

2. Ideal for document-heavy workflows

  • Legal, financial, RAG, compliance, research.

3. Low-cost for large-scale ingestion

  • Optimized pricing for big inputs.

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