Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Model details →Google: Gemini 2.5 Pro (batch) vs Sakana: Fugu Max
Google: Gemini 2.5 Pro (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Fugu Max is the cost-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 details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro (batch) | Sakana: Fugu Max | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1M | 🏆 Google: Gemini 2.5 Pro (batch) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.63 | $2.00 | 🏆 Google: Gemini 2.5 Pro (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $5.00 | $6.00 | 🏆 Google: Gemini 2.5 Pro (batch) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemini 2.5 Pro (batch) better than Sakana: Fugu Max?
Google: Gemini 2.5 Pro (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 2.5 Pro (batch) and Sakana: Fugu Max?
Input: $0.63 vs $2.00 per 1M tokens. Output: $5.00 vs $6.00 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro (batch) and Sakana: Fugu Max support?
Google: Gemini 2.5 Pro (batch) supports up to 1.0M tokens. Sakana: Fugu Max supports up to 1M tokens.
Do both Google: Gemini 2.5 Pro (batch) and Sakana: Fugu Max support tool calling?
Google: Gemini 2.5 Pro (batch): yes. Sakana: Fugu Max: yes.