OpenAI: gpt-oss-20b (batch) vs Microsoft: Phi 4: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: gpt-oss-20b (batch) (openai/gpt-oss-20b:batch) vs Microsoft: Phi 4 (microsoft/phi-4). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: gpt-oss-20b (batch) (openai/gpt-oss-20b:batch) 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).
Microsoft: Phi 4 (microsoft/phi-4) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Microsoft: Phi 4: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.035/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: gpt-oss-20b (batch) (API ID: openai/gpt-oss-20b:batch) vs Microsoft: Phi 4 (API ID: microsoft/phi-4), OpenAI: gpt-oss-20b (batch) offers lower standard input pricing at $0.024/1M tokens ($0.112/1M output), while OpenAI: gpt-oss-20b (batch) leads in cached prefix economics at $0.012/1M tokens (50% discount). OpenAI: gpt-oss-20b (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 | OpenAI: gpt-oss-20b (batch) | Microsoft: Phi 4 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-oss-20b:batch | microsoft/phi-4 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.024 / $0.112 | $0.07 / $0.14 | OpenAI: gpt-oss-20b (batch) |
| Cache Read Price (per 1M) | $0.012/1M (50% Off) | $0.035/1M (50% Off) | OpenAI: gpt-oss-20b (batch) |
| Context Window / Max Output | 128K In / 115K Out | 16K In / 14K Out | OpenAI: gpt-oss-20b (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: gpt-oss-20b (batch) (-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
[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses
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 (batch) to Microsoft: Phi 4
[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses Verified P90 latency of 280ms.