Build AI products powered by Claude 3.5 Sonnet or Qwen3-Max - no coding required
Start buildingClaude 3.5 Sonnet vs Qwen3-Max
Compare Claude 3.5 Sonnet and Qwen3-Max. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | Claude 3.5 Sonnet | Qwen3-Max |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 200,000 tokens | 262,144 tokens |
| Input Cost | $3.00/ 1M tokens | $0.86/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $3.44/ 1M tokens |
Build with it | Build with Claude 3.5 Sonnet | Build with Qwen3-Max |
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Strengths & Best Use Cases
Claude 3.5 Sonnet
Anthropic1. Intelligence & Reasoning
- Outperforms previous Claude models and competitor LLMs across major benchmarks.
- Excels in graduate-level reasoning (GPQA), knowledge tasks (MMLU), and coding (HumanEval).
- Handles nuance, humor, and complex instructions with human-like clarity.
2. Speed & Efficiency
- Runs 2x faster than Claude 3 Opus, making it ideal for real-time and high-volume workflows.
- Cost-effective pricing: $3/M input tokens and $15/M output tokens.
- Supports a 200K token context window, enabling rich, long-form reasoning.
3. Coding Capabilities
- Solves significantly more coding and bug-fix tasks (64% vs Opus's 38% in internal evaluations).
- Can autonomously write, edit, and execute code when tool use is enabled.
- Strong at translating and modernizing legacy codebases.
4. Vision Strength
- Best vision model in the Claude family, surpassing Opus on vision benchmarks.
- Excellent at interpreting charts, graphs, and imperfect images.
- Reliable text extraction from low-quality visuals for retail, logistics, finance, etc.
5. Agentic Workflows
- Highly capable for multi-step task orchestration.
- Performs well as the engine for agents requiring reasoning, planning, and tool-calling abilities.
6. Content Quality
- Produces natural, relatable writing with improved tone, style, and context awareness.
- Strong at long-form content creation and editing.
7. Safety & Reliability
- Rated ASL-2, meeting Anthropic's safety standards.
- Undergoes extensive red-teaming and external evaluation (UK AISI & US AISI).
- Not trained on user data without explicit permission.
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 3.5 Sonnet
textThought Leadership Interviews (Experts + Angles)
Plan a thought leadership interview series featuring experts discussing persona challenges and how your USP relates to solutions.
Expense Policy Compliance Check (Hotel Booking)
Verify whether a hotel booking meets corporate policy for rate, distance, and cancellation rules before you reserve.
Blog Post Outline Generator
Generate detailed outlines for blog posts to streamline your writing process and ensure comprehensive coverage.
Best for Qwen3-Max
textCompetitor Gap Finder: Unserved Audience Pain Points
Identify pain points your competitors likely ignore and explain why addressing them builds trust and differentiation.
Loyalty Program Perk Prioritizer (Business Travel)
Rank elite benefits by money/time value for a specific business trip goal and traveler needs.
Product Launch Campaign (Messaging + Timeline)
Plan a product launch campaign that highlights your USP and shows how the new offering solves persona challenges.
What AI product will you build?
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Multimodel LLMs
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Agentic workflows and integrations
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Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by Claude 3.5 Sonnet or Qwen3-Max
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