Sakana AI
Fugu Ultra
Fugu Ultra from Sakana AI: Quality-first multi-agent model for hard research, analysis, and competitions.
- Context
- 1M
- Input / 1M tokens
- $5.00
- Output / 1M tokens
- $30.00
Accepts
- Text input
- Image input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
Fugu Ultra from Sakana AI lists 1M context, $5.00 input per 1M tokens, $30.00 output per 1M tokens. MiMo-V2-Omni from Xiaomi lists 262.14K context, 131.07K maximum output, $0.14 input per 1M tokens, $0.28 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.
Sakana AI
Fugu Ultra from Sakana AI: Quality-first multi-agent model for hard research, analysis, and competitions.
Accepts
Produces
Xiaomi
MiMo-V2-Omni from Xiaomi: MiMo omni model for text, image, video, audio, and agents.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Fugu Ultra
MiMo-V2-Omni
Context capacity
Higher listed limit
Fugu Ultra:1M
MiMo-V2-Omni:262.14K
Fugu Ultra
Input price
Lower listed token rate
Fugu Ultra:$5.00
MiMo-V2-Omni:$0.14
MiMo-V2-Omni
Output price
Lower listed token rate
Fugu Ultra:$30.00
MiMo-V2-Omni:$0.28
MiMo-V2-Omni
Specifications
| Specification | Fugu Ultra | MiMo-V2-Omni |
|---|---|---|
| Provider | Sakana AI | Xiaomi |
| Listed pricing route | Sakana AI | Xiaomi |
| Model family | fugu | mimo |
| Accepted inputs | text, image | text, image, audio, video, pdf |
| Produced outputs | text | text |
| Context window | 1MHigher | 262.14K |
| Max output | — | 131.07K |
| Input price / 1M | $5.00 | $0.14Lower |
| Output price / 1M | $30.00 | $0.28Lower |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Documented | Documented |
| Audio input | Not documented | Documented |
| Structured output | Documented | Not documented |
| License | Proprietary | Proprietary |
Workload guidance
Consider Fugu Ultra if you need larger context. Consider MiMo-V2-Omni if you need a lower listed input rate or a lower listed output rate. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.
Explore each model’s features, API requirements and licence terms in the sources below.
Fugu Ultra
Sakana AI
Profile updated Oct 13, 2026
Documentation and references ↗MiMo-V2-Omni
Xiaomi
Profile updated Oct 13, 2026
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