DeepSeek: DeepSeek V4 Pro 0423 vs Mistral: Codestral 2508 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro) vs Mistral: Codestral 2508 (batch) (mistralai/codestral-2508:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro) — Automatic Disk KV Cache ($0.2003/1M) & 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: Codestral 2508 (batch) (mistralai/codestral-2508:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Codestral 2508 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4 Pro 0423 (API ID: deepseek/deepseek-v4-pro) vs Mistral: Codestral 2508 (batch) (API ID: mistralai/codestral-2508:batch), Mistral: Codestral 2508 (batch) offers lower standard input pricing at $0.15/1M tokens ($0.45/1M output), while Mistral: Codestral 2508 (batch) leads in cached prefix economics at $0.075/1M tokens (50% discount). DeepSeek: DeepSeek V4 Pro 0423 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 V4 Pro 0423 | Mistral: Codestral 2508 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4-pro | mistralai/codestral-2508:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.4005 / $0.8011 | $0.15 / $0.45 | Mistral: Codestral 2508 (batch) |
| Cache Read Price (per 1M) | $0.2003/1M (50% Off) | $0.075/1M (50% Off) | Mistral: Codestral 2508 (batch) |
| Context Window / Max Output | 1024K In / 375K Out | 250K In / 200K Out | DeepSeek: DeepSeek V4 Pro 0423 |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4 Pro 0423 (-0ms) |
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correc
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 V4 Pro 0423 to Mistral: Codestral 2508 (batch)
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correc Verified P90 latency of 280ms.