GPT-5.1 vs Qwen3-Omni-Flash

Compare GPT-5.1 and Qwen3-Omni-Flash. Find out which model is better for your specific use case and requirements.

Model Comparison

FeatureGPT-5.1Qwen3-Omni-Flash
ProviderOpenAIAlibaba Cloud
Model Typetextmultimodal
Context Window400,000 tokens65,536 tokens
Input Cost
$1.25/ 1M tokens
$0.43/ 1M tokens
Output Cost
$10.00/ 1M tokens
$1.66/ 1M tokens

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.

Qwen3-Omni-Flash

Alibaba Cloud

1. Advanced multimodal reasoning

  • Vision, audio, video inputs.

2. Supports thinking mode

  • Unique for multimodal.

3. 17 voices, 10 languages

  • Great for voice agents.

4. Designed for real-world interactions

  • Recognition, teaching, analysis.

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