Compare Claude 4.1 Opus and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | Claude 4.1 Opus | QVQ-Max |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Input Cost | $15.00/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $75.00/ 1M tokens | $4.59/ 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. Strongest visual reasoning in Qwen lineup
2. Great for math + vision hybrids
3. High-quality instruction following
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Generate quick formative assessments that gauge student understanding and inform next-day instruction.
Get actionable SEO and conversion improvements for a page, returned as a clear two-column action table.
Conduct comprehensive operational audits with this AI prompt, delivering C-suite grade strategies for measurable ROI within 90 days.
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Create an ABM campaign targeting high-value accounts with tailored messages that connect persona challenges to your USP.
Allocate marketing budget and resources across the highest-impact initiatives to communicate your USP and address persona challenges.
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