OpenRouter Models API
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route…
- Context
- 1M
- Max output
- 128K
- Input
- $5
- Output
- $30
Recommended use cases
Strengths in this dataset
- 1,000,000-token context window
- text, image input
- 7 supported API parameters listed
Limits and caveats
- Provider behavior and pricing can change; verify the linked sources before production use.
Capability
Model-native facts
Model- Reasoning
- Supported
- Open weights
- Unknown
Provider endpoint facts
Provider endpoint- Tool calling
- Supported
- Structured output
- Supported
- Streaming
- Unknown
- Prompt cache
- Supported
- Batch
- Unknown
- Fine-tuning
- Unknown
Fugu Ultra Provider pricing
Provider endpoint: sakana/fugu-ultra
- Input
- $5 per 1M tokens
- Output
- $30 per 1M tokens
- Cached input
- $0.50 per 1M tokens
- Image output
- Unknown per 1M tokens
Sources and verification
Frequently asked questions
Answers are generated from the same sourced model and provider facts shown above.
Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route…
Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.