DeepSeek: DeepSeek V3.2 Exp vs Mistral: Voxtral Small 24B 2507: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V3.2 Exp (deepseek/deepseek-v3.2-exp) vs Mistral: Voxtral Small 24B 2507 (mistralai/voxtral-small-24b-2507). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V3.2 Exp (deepseek/deepseek-v3.2-exp) — Automatic Disk KV Cache ($0.135/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
Mistral: Voxtral Small 24B 2507 (mistralai/voxtral-small-24b-2507) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Voxtral Small 24B 2507: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V3.2 Exp (API ID: deepseek/deepseek-v3.2-exp) vs Mistral: Voxtral Small 24B 2507 (API ID: mistralai/voxtral-small-24b-2507), Mistral: Voxtral Small 24B 2507 offers lower standard input pricing at $0.1/1M tokens ($0.3/1M output), while Mistral: Voxtral Small 24B 2507 leads in cached prefix economics at $0.05/1M tokens (50% discount). DeepSeek: DeepSeek V3.2 Exp 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 | DeepSeek: DeepSeek V3.2 Exp | Mistral: Voxtral Small 24B 2507 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v3.2-exp | mistralai/voxtral-small-24b-2507 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.27 / $0.41 | $0.1 / $0.3 | Mistral: Voxtral Small 24B 2507 |
| Cache Read Price (per 1M) | $0.135/1M (50% Off) | $0.05/1M (50% Off) | Mistral: Voxtral Small 24B 2507 |
| Context Window / Max Output | 160K In / 144K Out | 32K In / 26K Out | DeepSeek: DeepSeek V3.2 Exp |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V3.2 Exp (-0ms) |
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attentio
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech tran
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 DeepSeek: DeepSeek V3.2 Exp to Mistral: Voxtral Small 24B 2507
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech tran Verified P90 latency of 280ms.