Fugu Ultra vs Fugu Ultra v2 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Fugu Ultra — full profile › · Fugu Ultra v2 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Fugu Ultra | Fugu Ultra v2 | Winner |
|---|---|---|---|
| Maker | Sakana AI | Sakana AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 1M tokens | 1M tokens | = Tie |
| Input price | $5/M | $5/M | = Tie |
| Output price | $30/M | $30/M | = Tie |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
| Capability | Fugu Ultra | Fugu Ultra v2 |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✓ |
| Criterion | Fugu Ultra | Fugu Ultra v2 |
|---|---|---|
| Cost-efficiency | 3.0 | 3.0 |
| Context window | 5.0 | 5.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 5.0 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
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...
Fugu Ultra v2 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...
Fugu Ultra is cheaper on output ($30/M vs $30/M).
Fugu Ultra offers the larger context window (1M tokens).
Choose Fugu Ultra for the lower output price ($30/M vs $30/M). It also gives you the larger 1M context window.
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