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LLM ComparisonClaude 4.1 OpusQwen-Omni-Turbo

Claude 4.1 Opus vs Qwen-Omni-Turbo

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

Model Comparison

FeatureClaude 4.1 OpusQwen-Omni-Turbo
ProviderAnthropicAlibaba Cloud
Model Typetextmultimodal
Context Window1,000,000 tokens32,768 tokens
Input Cost
$15.00/ 1M tokens
$0.06/ 1M tokens
Output Cost
$75.00/ 1M tokens
$0.23/ 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-Omni-Turbo

Alibaba Cloud

1. Fast multimodal understanding

  • Handles text, audio, images.

2. Supports text+audio outputs

  • Great for assistants and education.

3. Strong cross-modal alignment

  • Solid for recognition, instructions, and conversion tasks.

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