Compare Claude 3.5 Haiku and Qwen3-Omni-Flash-Realtime. Find out which model is better for your specific use case and requirements.
| Feature | Claude 3.5 Haiku | Qwen3-Omni-Flash-Realtime |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 200,000 tokens | 65,536 tokens |
| Input Cost | $0.80/ 1M tokens | $0.52/ 1M tokens |
| Output Cost | $4.00/ 1M tokens | $1.99/ 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. Real-time audio streaming
2. Multimodal reasoning
3. Great for live agents
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Plan a thought leadership interview series featuring experts discussing persona challenges and how your USP relates to solutions.
Verify whether a hotel booking meets corporate policy for rate, distance, and cancellation rules before you reserve.
Analyze financial statements to understand company health, trends, and investment potential.
Craft a case study outline that proves your USP by showing how a customer like your persona overcame their challenges.
Create a persona-first content strategy that positions your brand as a thought leader and connects your USP to the challenges you solve.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
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