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LLM ComparisonGPT-5.1Qwen-Flash

GPT-5.1 vs Qwen-Flash

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

Model Comparison

FeatureGPT-5.1Qwen-Flash
ProviderOpenAIAlibaba Cloud
Model Typetexttext
Context Window400,000 tokens1,000,000 tokens
Input Cost
$1.25/ 1M tokens
$0.02/ 1M tokens
Output Cost
$10.00/ 1M tokens
$0.22/ 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-Flash

Alibaba Cloud

1. Ultra-fast, ultra-cheap

  • Designed for mass-scale workloads.
  • Excellent for rewriting, extraction, classification.

2. Limited reasoning but great utility

  • High throughput, low latency.

3. Optional thinking mode

  • Adds chain-of-thought when needed.

4. Supports context cache & batch calls

  • Very cost-effective system design.