DeepSeek Deepseek R1 Zero vs OpenAI GPT-5.4 nano: Live Promos, Pricing, Hidden Fees & Latency
DeepSeek Deepseek R1 Zero (deepseek/deepseek-r1-zero) — Automatic Disk KV Cache (0.05/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.022/1M off-peak input tokens (vs $0.66 off-peak base) with zero code changes required, plus off-peak UTC scheduling discounts.
OpenAI GPT-5.4 nano (gpt-5.4-nano) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 95% automatic prefix caching ($0.10/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing DeepSeek Deepseek R1 Zero (API ID: deepseek/deepseek-r1-zero) vs OpenAI GPT-5.4 nano (API ID: gpt-5.4-nano), OpenAI GPT-5.4 nano offers lower standard input pricing at $0.2/1M tokens ($1.25/1M output), while OpenAI GPT-5.4 nano leads in cached prefix economics at $0.02/1M tokens (90% discount). OpenAI GPT-5.4 nano achieves a 85ms faster P90 time-to-first-token latency (110ms vs 195ms).
Gateway-synced rate ($0.5/$2 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | DeepSeek Deepseek R1 Zero | OpenAI GPT-5.4 nano | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-r1-zero | gpt-5.4-nano | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2 | $0.2 / $1.25 | OpenAI GPT-5.4 nano |
| Cache Read Price (per 1M) | $0.05/1M (90% Off) | $0.02/1M (90% Off) | OpenAI GPT-5.4 nano |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 128K Out | OpenAI GPT-5.4 nano |
| P90 First-Token / Edge Latency | 195ms | 110ms | OpenAI GPT-5.4 nano (-85ms) |
DeepSeek Deepseek R1 Zero (deepseek/deepseek-r1-zero): OpenRouter gateway-synced model at $0.5/1M input, $2/1M output, $0.05/1M cached input (128K context window).
OpenAI GPT-5.4 nano high-throughput classification & routing model ($0.20/$1.25 per 1M, Official Cache Read $0.02/1M [90% Off], 128K context window).
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 R1 Zero to OpenAI GPT-5.4 nano
OpenAI GPT-5.4 nano high-throughput classification & routing model ($0.20/$1.25 per 1M, Official Cache Read $0.02/1M [90% Off], 128K context window). Verified P90 latency of 110ms.