Mistral: Mistral Medium 3.1 (batch) vs Sakana: Sakana Namazu: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch) vs Sakana: Sakana Namazu (sakana/sakana-namazu). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.1 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Sakana: Sakana Namazu (sakana/sakana-namazu) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sakana: Sakana Namazu: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.475/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Medium 3.1 (batch) (API ID: mistralai/mistral-medium-3.1:batch) vs Sakana: Sakana Namazu (API ID: sakana/sakana-namazu), Mistral: Mistral Medium 3.1 (batch) offers lower standard input pricing at $0.2/1M tokens ($1/1M output), while Mistral: Mistral Medium 3.1 (batch) leads in cached prefix economics at $0.1/1M tokens (50% discount). Mistral: Mistral Medium 3.1 (batch) achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Mistral: Mistral Medium 3.1 (batch) | Sakana: Sakana Namazu | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-medium-3.1:batch | sakana/sakana-namazu | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $1 | $0.95 / $4 | Mistral: Mistral Medium 3.1 (batch) |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.475/1M (50% Off) | Mistral: Mistral Medium 3.1 (batch) |
| Context Window / Max Output | 128K In / 102K Out | 256K In / 64K Out | Mistral: Mistral Medium 3.1 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Medium 3.1 (batch) (-0ms) |
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at signifi
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 Ja
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Mistral: Mistral Medium 3.1 (batch) to Sakana: Sakana Namazu
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 Ja Verified P90 latency of 280ms.