DeepSeek: R1 0528 vs OpenAI: gpt-oss-safeguard-20b: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) vs OpenAI: gpt-oss-safeguard-20b (openai/gpt-oss-safeguard-20b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
OpenAI: gpt-oss-safeguard-20b (openai/gpt-oss-safeguard-20b) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 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: R1 0528 (API ID: deepseek/deepseek-r1-0528) vs OpenAI: gpt-oss-safeguard-20b (API ID: openai/gpt-oss-safeguard-20b), OpenAI: gpt-oss-safeguard-20b offers lower standard input pricing at $0.075/1M tokens ($0.3/1M output), while OpenAI: gpt-oss-safeguard-20b leads in cached prefix economics at $0.0375/1M tokens (50% discount). DeepSeek: R1 0528 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: R1 0528 | OpenAI: gpt-oss-safeguard-20b | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-r1-0528 | openai/gpt-oss-safeguard-20b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2.15 | $0.075 / $0.3 | OpenAI: gpt-oss-safeguard-20b |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $0.0375/1M (50% Off) | OpenAI: gpt-oss-safeguard-20b |
| Context Window / Max Output | 160K In / 32K Out | 128K In / 64K Out | OpenAI: gpt-oss-safeguard-20b |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: R1 0528 (-0ms) |
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
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety
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: R1 0528 to OpenAI: gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety Verified P90 latency of 280ms.