DeepSeek Deepseek R1 Zero vs OpenAI GPT-5.3-Codex: 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-5.3-Codex (gpt-5.3-codex) 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-5.3-Codex (API ID: gpt-5.3-codex), DeepSeek Deepseek R1 Zero offers lower standard input pricing at $0.5/1M tokens ($2/1M output), while DeepSeek Deepseek R1 Zero leads in cached prefix economics at $0.05/1M tokens (90% discount). OpenAI GPT-5.3-Codex achieves a 45ms faster P90 time-to-first-token latency (150ms 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.
High $14.00/1M output rate; pin repository context in prefix cache ($0.175/1M read, 90% off) or migrate to GPT-6.1 Sol ($2/$10, Cache $0.10).
| Specification / FinOps Dimension | DeepSeek Deepseek R1 Zero | OpenAI GPT-5.3-Codex | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-r1-zero | gpt-5.3-codex | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2 | $1.75 / $14 | DeepSeek Deepseek R1 Zero |
| Cache Read Price (per 1M) | $0.05/1M (90% Off) | $0.175/1M (90% Off) | DeepSeek Deepseek R1 Zero |
| Context Window / Max Output | 128K In / 64K Out | 1000K In / 128K Out | OpenAI GPT-5.3-Codex |
| P90 First-Token / Edge Latency | 195ms | 150ms | OpenAI GPT-5.3-Codex (-45ms) |
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 specialized code generation & repository refactoring model ($1.75/$14.00 per 1M, Official Cache Read $0.175/1M).
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-5.3-Codex
OpenAI specialized code generation & repository refactoring model ($1.75/$14.00 per 1M, Official Cache Read $0.175/1M). Verified P90 latency of 150ms.