Google: Gemini 2.5 Flash Lite (batch) vs DeepSeek: R1 0528: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 2.5 Flash Lite (batch) (google/gemini-2.5-flash-lite:batch) vs DeepSeek: R1 0528 (deepseek/deepseek-r1-0528). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 2.5 Flash Lite (batch) (google/gemini-2.5-flash-lite:batch) — 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.
DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) — Automatic Disk KV Cache ($0.25/1M) & 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 Flash Lite (batch) (API ID: google/gemini-2.5-flash-lite:batch) vs DeepSeek: R1 0528 (API ID: deepseek/deepseek-r1-0528), Google: Gemini 2.5 Flash Lite (batch) offers lower standard input pricing at $0.05/1M tokens ($0.2/1M output), while Google: Gemini 2.5 Flash Lite (batch) leads in cached prefix economics at $0.025/1M tokens (50% discount). Google: Gemini 2.5 Flash Lite (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 | Google: Gemini 2.5 Flash Lite (batch) | DeepSeek: R1 0528 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.5-flash-lite:batch | deepseek/deepseek-r1-0528 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.2 | $0.5 / $2.15 | Google: Gemini 2.5 Flash Lite (batch) |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.25/1M (50% Off) | Google: Gemini 2.5 Flash Lite (batch) |
| Context Window / Max Output | 1024K In / 64K Out | 160K In / 32K Out | Google: Gemini 2.5 Flash Lite (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 2.5 Flash Lite (batch) (-0ms) |
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token ge
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 67
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 Flash Lite (batch) to DeepSeek: R1 0528
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 67 Verified P90 latency of 280ms.