DeepSeek: DeepSeek V3 0324 vs Google: Gemini 2.5 Pro Preview 06-05: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V3 0324 (deepseek/deepseek-chat-v3-0324) vs Google: Gemini 2.5 Pro Preview 06-05 (google/gemini-2.5-pro-preview). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V3 0324 (deepseek/deepseek-chat-v3-0324) — Automatic Disk KV Cache ($0.145/1M) & 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.
Google: Gemini 2.5 Pro Preview 06-05 (google/gemini-2.5-pro-preview) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V3 0324 (API ID: deepseek/deepseek-chat-v3-0324) vs Google: Gemini 2.5 Pro Preview 06-05 (API ID: google/gemini-2.5-pro-preview), DeepSeek: DeepSeek V3 0324 offers lower standard input pricing at $0.29/1M tokens ($1.14/1M output), while DeepSeek: DeepSeek V3 0324 leads in cached prefix economics at $0.145/1M tokens (50% discount). DeepSeek: DeepSeek V3 0324 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 0324 | Google: Gemini 2.5 Pro Preview 06-05 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-chat-v3-0324 | google/gemini-2.5-pro-preview | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.29 / $1.14 | $1.25 / $10 | DeepSeek: DeepSeek V3 0324 |
| Cache Read Price (per 1M) | $0.145/1M (50% Off) | $0.625/1M (50% Off) | DeepSeek: DeepSeek V3 0324 |
| Context Window / Max Output | 160K In / 113K Out | 1024K In / 64K Out | DeepSeek: DeepSeek V3 0324 |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V3 0324 (-0ms) |
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/d
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to
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 0324 to Google: Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to Verified P90 latency of 280ms.