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LLM ComparisonGPT-5.1QVQ-Max

GPT-5.1 vs QVQ-Max

Compare GPT-5.1 and QVQ-Max. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.1QVQ-Max
ProviderOpenAIAlibaba Cloud
Model Typetextvision
Context Window400,000 tokens131,072 tokens
Input Cost
$1.25/ 1M tokens
$1.15/ 1M tokens
Output Cost
$10.00/ 1M tokens
$4.59/ 1M tokens

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Strengths & Best Use Cases

GPT-5.1

OpenAI

1. Configurable Reasoning for Agentic Tasks

  • Built to excel in autonomous or semi-autonomous coding workflows, with adjustable reasoning effort for planning, refactoring and debugging.

2. Fast Multi-Modal Input with Large Output

  • Accepts both text and image inputs while producing text outputs.
  • Offers up to 128 k output tokens, allowing long responses and code generation across multiple files.

3. Large Context & Knowledge Cut-Off

  • 400 k token context window supports processing large codebases or documents.
  • Knowledge cut-off of Sep 30 2024 ensures familiarity with recent tools and frameworks.

4. Reasoning Token Support

  • Provides explicit support for reasoning tokens, enabling developers to fine-tune the balance between reasoning depth and speed.

QVQ-Max

Alibaba Cloud

1. Strongest visual reasoning in Qwen lineup

  • Handles charts, diagrams, puzzles.

2. Great for math + vision hybrids

  • Geometry, visual logic testing.

3. High-quality instruction following

  • Consistent formatting and detailed responses.

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