Build AI powered apps for your work

Get started free
LLM ComparisonClaude 4.1 OpusQwen3-VL-Plus

Claude 4.1 Opus vs Qwen3-VL-Plus

Compare Claude 4.1 Opus and Qwen3-VL-Plus. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4.1 OpusQwen3-VL-Plus
ProviderAnthropicAlibaba Cloud
Model Typetextvision
Context Window1,000,000 tokens262,144 tokens
Input Cost
$15.00/ 1M tokens
$0.40/ 1M tokens
Output Cost
$75.00/ 1M tokens
$1.20/ 1M tokens

Stop choosing. Use both.

With Appaca you don't have to pick — build apps that are powered by Claude 4.1 Opus, Qwen3-VL-Plus, for your specific use case.

Build your first app free

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.

Qwen3-VL-Plus

Alibaba Cloud

1. Advanced OCR and extraction

  • Reads receipts, documents, product photos.

2. Visual reasoning

  • Understands diagrams and logical layouts.

3. Thinking + non-thinking modes

  • Supports chain-of-thought.

4. Large 262K context

  • Great for multimodal RAG.