OpenAI: gpt-oss-20b vs DeepSeek: DeepSeek V4.1 Flash (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: gpt-oss-20b (openai/gpt-oss-20b) vs DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: gpt-oss-20b (openai/gpt-oss-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).
DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch) — Automatic Disk KV Cache ($0.056/1M) & 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 OpenAI: gpt-oss-20b (API ID: openai/gpt-oss-20b) vs DeepSeek: DeepSeek V4.1 Flash (batch) (API ID: deepseek/deepseek-v4.1-flash:batch), OpenAI: gpt-oss-20b offers lower standard input pricing at $0.018/1M tokens ($0.09/1M output), while OpenAI: gpt-oss-20b leads in cached prefix economics at $0.009/1M tokens (50% discount). OpenAI: gpt-oss-20b 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 | OpenAI: gpt-oss-20b | DeepSeek: DeepSeek V4.1 Flash (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-oss-20b | deepseek/deepseek-v4.1-flash:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.018 / $0.09 | $0.112 / $0.336 | OpenAI: gpt-oss-20b |
| Cache Read Price (per 1M) | $0.009/1M (50% Off) | $0.056/1M (50% Off) | OpenAI: gpt-oss-20b |
| Context Window / Max Output | 128K In / 32K Out | 1024K In / 128K Out | DeepSeek: DeepSeek V4.1 Flash (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: gpt-oss-20b (-0ms) |
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per f
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o
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 OpenAI: gpt-oss-20b to DeepSeek: DeepSeek V4.1 Flash (batch)
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o Verified P90 latency of 280ms.