Compare Claude 4.1 Opus and Qwen3-VL-Plus. Find out which model is better for your specific use case and requirements.
| Feature | Claude 4.1 Opus | Qwen3-VL-Plus |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 1,000,000 tokens | 262,144 tokens |
| Input Cost | $15.00/ 1M tokens | $0.40/ 1M tokens |
| Output Cost | $75.00/ 1M tokens | $1.20/ 1M tokens |
1. Advanced Coding Performance
Achieves 74.5% on SWE-bench Verified, improving the Claude family's state-of-the-art coding abilities.
Stronger at:
Outperforms Opus 4 and shows gains comparable to jumps seen in past major releases.
2. Improved Agentic & Research Capabilities
3. Validated by Real-World Users
4. Hybrid-Reasoning Benchmark Improvements
1. Advanced OCR and extraction
2. Visual reasoning
3. Thinking + non-thinking modes
4. Large 262K context
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Generate named entities and natural insertion points to improve semantic depth and topical coverage.
Convert common sales objections into underlying fears and create educational content ideas that overcome them before the sales call.
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Create a marketing experimentation framework to test and optimize persona-targeted messaging and offers that highlight your USP and address challenges.
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Create a customer onboarding program that reinforces your USP and sets your persona up for success overcoming their challenges.
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