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LLM ComparisonGPT-5.1Qwen3-Max

GPT-5.1 vs Qwen3-Max

Compare GPT-5.1 and Qwen3-Max. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.1Qwen3-Max
ProviderOpenAIAlibaba Cloud
Model Typetexttext
Context Window400,000 tokens262,144 tokens
Input Cost
$1.25/ 1M tokens
$0.86/ 1M tokens
Output Cost
$10.00/ 1M tokens
$3.44/ 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.

Qwen3-Max

Alibaba Cloud

1. Best performance in Qwen3 series

  • Handles complex multi-step reasoning.
  • Excellent for agent programming and tool calling.

2. Massive context window

  • 262K tokens enable long multi-document tasks.
  • Useful for RAG pipelines, analysis, and long-form workflows.

3. Tiered pricing support

  • More cost-efficient for small requests.
  • Supports context caching for repeated inputs.

4. Strong general-purpose intelligence

  • High accuracy in coding, reasoning, and structured tasks.
  • Reliable for enterprise automation.