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LLM ComparisonGPT-5.1Qwen-Omni-Turbo

GPT-5.1 vs Qwen-Omni-Turbo

Compare GPT-5.1 and Qwen-Omni-Turbo. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.1Qwen-Omni-Turbo
ProviderOpenAIAlibaba Cloud
Model Typetextmultimodal
Context Window400,000 tokens32,768 tokens
Input Cost
$1.25/ 1M tokens
$0.06/ 1M tokens
Output Cost
$10.00/ 1M tokens
$0.23/ 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.

Qwen-Omni-Turbo

Alibaba Cloud

1. Fast multimodal understanding

  • Handles text, audio, images.

2. Supports text+audio outputs

  • Great for assistants and education.

3. Strong cross-modal alignment

  • Solid for recognition, instructions, and conversion tasks.

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