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Get started freeClaude 4.5 Opus vs Qwen3-Max
Compare Claude 4.5 Opus and Qwen3-Max. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.5 Opus | Qwen3-Max |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 200,000 tokens | 262,144 tokens |
| Input Cost | $5.00/ 1M tokens | $0.86/ 1M tokens |
| Output Cost | $25.00/ 1M tokens | $3.44/ 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.
Qwen3-Max
Alibaba Cloud1. Best performance in Qwen3 series
- Handles complex multi-step reasoning.
- Excellent for agent programming and tool calling.
2. Massive context window
- 262K tokens enable long multi-document tasks.
- Useful for RAG pipelines, analysis, and long-form workflows.
3. Tiered pricing support
- More cost-efficient for small requests.
- Supports context caching for repeated inputs.
4. Strong general-purpose intelligence
- High accuracy in coding, reasoning, and structured tasks.
- Reliable for enterprise automation.
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
textReview Miner: Extract Recurring Pain Points
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.
Improve Credit Score
Create a strategic credit improvement plan with this AI prompt, tailored to your unique financial constraints and urgent goals.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Best for Qwen3-Max
textConduct Legal Research & Analysis (Structured Memo)
Generate a structured legal research memo with governing law, key authorities, analysis, and a verification checklist.
Educational Webinars (Deep-Dive Curriculum)
Create educational webinar topics and formats that teach persona-relevant skills and connect your USP to solving key challenges.
Score Cold Sales Emails
Evaluate and improve a cold sales email using a weighted scorecard (clarity, relevance, proof, CTA, deliverability) with specific rewrite suggestions.
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