Mistral: Mistral Small 4 (batch) vs Meta: Llama 4 Scout: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Small 4 (batch) (mistralai/mistral-small-2603:batch) vs Meta: Llama 4 Scout (meta-llama/llama-4-scout). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Small 4 (batch) (mistralai/mistral-small-2603:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Small 4 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0375/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta: Llama 4 Scout (meta-llama/llama-4-scout) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 4 Scout: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.09/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Small 4 (batch) (API ID: mistralai/mistral-small-2603:batch) vs Meta: Llama 4 Scout (API ID: meta-llama/llama-4-scout), Mistral: Mistral Small 4 (batch) offers lower standard input pricing at $0.075/1M tokens ($0.3/1M output), while Mistral: Mistral Small 4 (batch) leads in cached prefix economics at $0.0375/1M tokens (50% discount). Mistral: Mistral Small 4 (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 Small 4 (batch) | Meta: Llama 4 Scout | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-small-2603:batch | meta-llama/llama-4-scout | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.075 / $0.3 | $0.18 / $0.59 | Mistral: Mistral Small 4 (batch) |
| Cache Read Price (per 1M) | $0.0375/1M (50% Off) | $0.09/1M (50% Off) | Mistral: Mistral Small 4 (batch) |
| Context Window / Max Output | 256K In / 205K Out | 1280K In / 115K Out | Mistral: Mistral Small 4 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Small 4 (batch) (-0ms) |
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoni
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimo
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 Small 4 (batch) to Meta: Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimo Verified P90 latency of 280ms.