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Get started freeClaude 4.5 Opus vs QVQ-Max
Compare Claude 4.5 Opus and QVQ-Max. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.5 Opus | QVQ-Max |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 200,000 tokens | 131,072 tokens |
| Input Cost | $5.00/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $25.00/ 1M tokens | $4.59/ 1M tokens |
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Strengths & Best Use Cases
Claude 4.5 Opus
Anthropic1. Maximum capability with more practical pricing
- Anthropic introduced Opus 4.5 as its most intelligent model, combining maximum capability with practical performance.
- It was positioned as the best model in the world for coding, agents, and computer use at launch, with pricing reduced to $5/M input and $25/M output.
2. Step-change gains for coding and advanced agent work
- Anthropic describes Opus 4.5 as state-of-the-art on real-world software engineering tests.
- It also improved everyday knowledge-work tasks like deep research, slides, and spreadsheets while staying strong on long-horizon agent workflows.
3. Better control over reasoning depth
- Opus 4.5 introduced the
effortparameter, letting developers trade off response thoroughness against token efficiency. - This made it easier to use one flagship model across both high-depth analysis and more cost-sensitive production workloads.
4. Stronger computer use and continuity
- Added enhanced computer use with a zoom action for inspecting detailed screen regions.
- Preserves prior thinking blocks across turns, helping the model maintain reasoning continuity in extended multi-step tasks.
QVQ-Max
Alibaba Cloud1. Strongest visual reasoning in Qwen lineup
- Handles charts, diagrams, puzzles.
2. Great for math + vision hybrids
- Geometry, visual logic testing.
3. High-quality instruction following
- Consistent formatting and detailed responses.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for Claude 4.5 Opus
textLearning Objectives Generator
Create clear, measurable learning objectives aligned to standards using Blooms Taxonomy action verbs.
Develop a Legal Strategy (Risks, Benefits, Alternatives)
Evaluate a proposed legal strategy with risks, benefits, alternatives, and a decision framework.
SERP Feature Forecasting + Content Structure
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
Best for QVQ-Max
visionContent Hub (Central Resource Library)
Create a website content hub that centralizes resources related to persona challenges and positions your USP as the solution.
Employee Advocacy Program (Social Sharing System)
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
Lead Scoring System (USP Engagement + Pain Signals)
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
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