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LLM ComparisonClaude 4.1 OpusQwen-Max

Claude 4.1 Opus vs Qwen-Max

Compare Claude 4.1 Opus and Qwen-Max. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4.1 OpusQwen-Max
ProviderAnthropicAlibaba Cloud
Model Typetexttext
Context Window1,000,000 tokens32,768 tokens
Input Cost
$15.00/ 1M tokens
$1.60/ 1M tokens
Output Cost
$75.00/ 1M tokens
$6.40/ 1M tokens

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Strengths & Best Use Cases

Claude 4.1 Opus

Anthropic

1. Advanced Coding Performance

  • Achieves 74.5% on SWE-bench Verified, improving the Claude family's state-of-the-art coding abilities.

  • Stronger at:

    • Multi-file code refactoring
    • Large codebase debugging
    • Pinpointing exact corrections without unnecessary edits
  • Outperforms Opus 4 and shows gains comparable to jumps seen in past major releases.

2. Improved Agentic & Research Capabilities

  • Better at maintaining detail accuracy in long research tasks.
  • Enhanced agentic search and step-by-step problem solving.
  • Performs reliably across complex multi-turn reasoning tasks.

3. Validated by Real-World Users

  • GitHub: Better multi-file refactoring and code adjustments.
  • Rakuten Group: High precision debugging with minimal collateral changes.
  • Windsurf: One standard deviation improvement on their junior dev benchmark - similar magnitude to Sonnet 3.7 → Sonnet 4.

4. Hybrid-Reasoning Benchmark Improvements

  • Improvements across TAU-bench, GPQA Diamond, MMMLU, MMMU, AIME (with extended thinking).
  • Stronger robustness in long-context reasoning tasks.

Qwen-Max

Alibaba Cloud

1. Strong general-purpose reasoning

  • Great for coding, analysis, creation, and multi-step tasks.

2. Stable commercial-grade model

  • Predictable output quality and long-term stability.

3. Supports batch operations

  • Batch inference is 50% cheaper.

4. Good for production agents

  • Reliable instruction following and structured output.

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