GPT-5 vs Qwen3-Max

Compare GPT-5 and Qwen3-Max. Find out which one is better for your use case.

Model Comparison

FeatureGPT-5Qwen3-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

Strengths & Best Use Cases

GPT-5

1. High reasoning capability

  • Designed for intelligent reasoning across complex domains.
  • Supports reasoning tokens and adjustable reasoning effort.

2. Strong coding and agentic performance

  • Optimized for multi-step coding tasks, tool-use chains, and agent workflows.
  • Handles complex logic, planning, and structured problem solving reliably.

3. Multimodal input

  • Accepts text + image as input.
  • Produces text outputs with strong instruction following.

4. Extensive tool support

  • Works with Web Search, File Search, Image Generation (as a tool), Code Interpreter, MCP, and more.
  • Integrated across Chat Completions, Responses API, Realtime, Assistants, Batch, Embeddings, etc.

Qwen3-Max

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.

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