Compare Claude 3.5 Haiku and Qwen3-VL-Plus. Find out which model is better for your specific use case and requirements.
| Feature | Claude 3.5 Haiku | Qwen3-VL-Plus |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 200,000 tokens | 262,144 tokens |
| Input Cost | $0.80/ 1M tokens | $0.40/ 1M tokens |
| Output Cost | $4.00/ 1M tokens | $1.20/ 1M tokens |
1. Intelligence & Benchmark Performance
2. Coding Strength
Scores 40.6% on SWE-bench Verified, outperforming:
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
4. Tool Use & Instruction Following
5. Best Use Cases
1. Advanced OCR and extraction
2. Visual reasoning
3. Thinking + non-thinking modes
4. Large 262K context
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Create high-ranking, engaging blog posts with proper SEO structure, keyword optimization, and readability.
Develop a co-marketing partnership strategy with brands serving the same persona, amplifying reach while reinforcing your USP and persona challenges.
Plan a thought leadership interview series featuring experts discussing persona challenges and how your USP relates to solutions.
Identify top counties/metros for vacant land flips by comparing appreciation, liquidity, and demand signals across target regions.
Write a 3-email re-engagement sequence to revive cold buyer/seller leads using a check-in, a value add market update, and a break-up email.
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
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