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The latest flagship multimodal model supports million-token context, with encoding capability (SWE-bench 54.6%) and instruction-following (Scale AI 38.3%) performance significantly surpassing GPT-4o, while reducing costs by 26%, making it suitable for complex tasks. Its automatic caching mechanism offers a 75% cost reduction on cache hits.
Pricing
Input Modalities
- Text
- Vision
Output Modalities
- Text
Capabilities
- Tools
- Tool calling
- Structured outputs
- Long context
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Python
