Mistral Large 2407 vs Mistral: Mistral Nemo: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral Large 2407 (mistralai/mistral-large-2407) vs Mistral: Mistral Nemo (mistralai/mistral-nemo). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral Large 2407 (mistralai/mistral-large-2407) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral Large 2407: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Mistral: Mistral Nemo (mistralai/mistral-nemo) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Nemo: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0145/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral Large 2407 (API ID: mistralai/mistral-large-2407) vs Mistral: Mistral Nemo (API ID: mistralai/mistral-nemo), Mistral: Mistral Nemo offers lower standard input pricing at $0.029/1M tokens ($0.03/1M output), while Mistral: Mistral Nemo leads in cached prefix economics at $0.0145/1M tokens (50% discount). Mistral Large 2407 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 Large 2407 | Mistral: Mistral Nemo | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-large-2407 | mistralai/mistral-nemo | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $6 | $0.029 / $0.03 | Mistral: Mistral Nemo |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.0145/1M (50% Off) | Mistral: Mistral Nemo |
| Context Window / Max Output | 128K In / 102K Out | 128K In / 16K Out | Mistral Large 2407 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral Large 2407 (-0ms) |
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. R
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italia
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 Large 2407 to Mistral: Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italia Verified P90 latency of 280ms.