Type
Spec
Rate
Input
per 1M prompt tokens
<=272K $5.00 >272K $10.00
Output
per 1M generated tokens
<=272K $30.00 >272K $45.00
Implicit cache read
per 1M cached input tokens
<=272K $0.50 >272K $1.00
Fugu Ultra v2.0 and Fugu Ultra v1.1 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Sakana AI Text GenerationFugu Ultra v2.0 and Fugu Ultra v1.1 are both Sakana AI models in the Text Generation category, available through the EmpirioLabs API.
| Spec | Fugu Ultra v2.0 | Fugu Ultra v1.1 |
|---|---|---|
| Model ID | fugu-ultra-v2-0 | fugu-ultra-v1-1 |
| Author | Sakana AI | Sakana AI |
| Released | Sep 10, 2026 | Jul 23, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Input | Text Image | Text Image |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/fugu-ultra-v2-0:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/fugu-ultra-v1-1:generateContent |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.
| Parameter | Fugu Ultra v2.0 | Fugu Ultra v1.1 |
|---|---|---|
| max_tokens | 16 to 131072 | 16 to 131072 |
| reasoning_effort | high, xhigh, max Default: high | high, xhigh, max Default: high |
| tool_web_search | boolean Default: false | boolean Default: false |
| tools | array Default: [] | array Default: [] |
| tool_choice | object | object |
| response_format | enum | enum |
Fugu Ultra v2.0 is the flagship multi-agent conductor: each request coordinates a pool of expert models and composes their work into a single answer.
Fugu Ultra v1.1 is an updated multi-agent conductor: each request coordinates a pool of expert models and composes their work into a single answer.
Fugu Ultra v2.0 serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id fugu-ultra-v2-0. Both models are called through the same endpoint. Set model to fugu-ultra-v2-0 or fugu-ultra-v1-1. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "fugu-ultra-v2-0",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Fugu Ultra v2.0 is the newer release (Sep 10, 2026); Fugu Ultra v1.1 was released on Jul 23, 2026. Both models have a context window of 1M tokens. Capabilities listed only for Fugu Ultra v2.0: structured output. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Fugu Ultra v2.0 is the newer release (Sep 10, 2026); Fugu Ultra v1.1 was released on Jul 23, 2026.
The two models are priced on different units or tiers, so compare the live rate cards on this page. They always match what the API charges.
Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.