Build AI products powered by Claude 3.5 Sonnet or QwQ-Plus - no coding required
Start buildingClaude 3.5 Sonnet vs QwQ-Plus
Compare Claude 3.5 Sonnet and QwQ-Plus. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | Claude 3.5 Sonnet | QwQ-Plus |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 200,000 tokens | 131,072 tokens |
| Input Cost | $3.00/ 1M tokens | $0.23/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $0.57/ 1M tokens |
Build with it | Build with Claude 3.5 Sonnet | Build with QwQ-Plus |
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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.
QwQ-Plus
Alibaba Cloud1. Deep reasoning specialization
- Competes with DeepSeek-R1 full-performance levels.
- Excellent for math, proofs, symbolic logic.
2. Strong code reasoning
- Top-tier LiveCodeBench performance.
3. Chain-of-thought supported
- Up to 32K reasoning tokens.
4. Reliable structured outputs
- Consistent on difficult multi-step problems.
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
textContent Marketing Strategy (Thought Leadership)
Create a persona-first content strategy that positions your brand as a thought leader and connects your USP to the challenges you solve.
Improve Credit Score
Create a strategic credit improvement plan with this AI prompt, tailored to your unique financial constraints and urgent goals.
Social Media Campaign (USP + Challenge Angles)
Design a social media campaign that engages your persona with informative and entertaining content tied to your USP and their challenges.
Best for QwQ-Plus
textCompetitor Analysis (Differentiation Opportunities)
Analyze competitors and identify differentiation opportunities that strengthen your USP for your persona’s challenges.
Open House Feedback Automator (Agent Follow-Up)
Generate a short, professional follow-up text/email to visiting agents to collect quick feedback on price, condition, and client interest.
Data-Driven Infographics (Trends + Insights)
Create a plan for data-driven infographics that communicate trends and persona insights while reinforcing your USP’s impact on challenges.
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Founder & CEO, Edubuddy
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