Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Model details →Mistral: Mistral Medium 3.5 vs Sakana: Sakana Namazu
Sakana: Sakana Namazu wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...
Model details →Side-by-side comparison
| Capability | Mistral: Mistral Medium 3.5 | Sakana: Sakana Namazu | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.50 | $0.95 | 🏆 Sakana: Sakana Namazu |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $7.50 | $4.00 | 🏆 Sakana: Sakana Namazu |
| 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 Mistral: Mistral Medium 3.5 better than Sakana: Sakana Namazu?
Sakana: Sakana Namazu wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Mistral Medium 3.5 and Sakana: Sakana Namazu?
Input: $1.50 vs $0.95 per 1M tokens. Output: $7.50 vs $4.00 per 1M tokens.
What context windows do Mistral: Mistral Medium 3.5 and Sakana: Sakana Namazu support?
Mistral: Mistral Medium 3.5 supports up to 262K tokens. Sakana: Sakana Namazu supports up to 262K tokens.
Do both Mistral: Mistral Medium 3.5 and Sakana: Sakana Namazu support tool calling?
Mistral: Mistral Medium 3.5: yes. Sakana: Sakana Namazu: yes.