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 Tokens: $0 /M tokens
- Output Tokens: $0 /M tokens
- Cache Read: $0 /M tokens
Input Modalities
- Text
- Vision
Output Modalities
- Text
Context length
- 1.05M tokens
Max output
- 32.8K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Try this model
Python