Google Gemini 2.5 Pro Batch vs DeepSeek: DeepSeek V4.1 Flash 1017: Live Promos, Pricing, Hidden Fees & Latency
Google Gemini 2.5 Pro Batch (google/gemini-2.5-pro-batch) — Google AI Startup Credits ($350K) & 75% 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.
DeepSeek: DeepSeek V4.1 Flash 1017 (deepseek/deepseek-v4.1-flash-1017) — Automatic Disk KV Cache (0.15/1M) & 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.
In Etuki October 2026 FinOps telemetry comparing Google Gemini 2.5 Pro Batch (API ID: google/gemini-2.5-pro-batch) vs DeepSeek: DeepSeek V4.1 Flash 1017 (API ID: deepseek/deepseek-v4.1-flash-1017), DeepSeek: DeepSeek V4.1 Flash 1017 offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while DeepSeek: DeepSeek V4.1 Flash 1017 leads in cached prefix economics at $0.15/1M tokens (50% discount). Google Gemini 2.5 Pro Batch achieves a 10ms faster P90 time-to-first-token latency (270ms vs 280ms).
Prompts exceeding 200K tokens incur 2x tier pricing unless pinned via Google AI Studio Context Caching (75% off).
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Google Gemini 2.5 Pro Batch | DeepSeek: DeepSeek V4.1 Flash 1017 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.5-pro-batch | deepseek/deepseek-v4.1-flash-1017 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $5 | $0.3 / $1.2 | DeepSeek: DeepSeek V4.1 Flash 1017 |
| Cache Read Price (per 1M) | $0.25/1M (75% Off) | $0.15/1M (50% Off) | DeepSeek: DeepSeek V4.1 Flash 1017 |
| Context Window / Max Output | 1000K In / 128K Out | 1024K In / 384K Out | DeepSeek: DeepSeek V4.1 Flash 1017 |
| P90 First-Token / Edge Latency | 270ms | 280ms | Google Gemini 2.5 Pro Batch (-10ms) |
Google Gemini 2.5 Pro Batch is Google DeepMind's native multimodal frontier model supporting up to 2M context tokens and implicit context caching.
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-ex
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 Google Gemini 2.5 Pro Batch to DeepSeek: DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-ex Verified P90 latency of 280ms.