Microsoft: Phi 4 vs Google Gemini 4 Argon: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Microsoft: Phi 4 (microsoft/phi-4) vs Google Gemini 4 Argon (gemini-4-argon). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Gemini 4 Argon 50% Introductory API Discount ($2/$10) & Google AI Startup Grants
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
In Etuki October 2026 FinOps telemetry comparing Microsoft: Phi 4 (API ID: microsoft/phi-4) vs Google Gemini 4 Argon (API ID: gemini-4-argon), Microsoft: Phi 4 offers lower standard input pricing at $0.07/1M tokens ($0.14/1M output), while Microsoft: Phi 4 leads in cached prefix economics at $0.035/1M tokens (50% discount). Google Gemini 4 Argon achieves a 20ms faster P90 time-to-first-token latency (260ms vs 280ms).
Auto-discovered via live global telemetry registry.
Introductory $2/$10 API rate is locked until Nov 30, 2026, after which standard uncached rates rise to $4/$20.
| Specification / FinOps Dimension | Microsoft: Phi 4 | Google Gemini 4 Argon | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | microsoft/phi-4 | gemini-4-argon | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.07 / $0.14 | $2 / $10 | Microsoft: Phi 4 |
| Cache Read Price (per 1M) | $0.035/1M (50% Off) | $0.1/1M (95% Off) | Microsoft: Phi 4 |
| Context Window / Max Output | 16K In / 14K Out | 2000K In / 1000K Out | Google Gemini 4 Argon |
| P90 First-Token / Edge Latency | 280ms | 260ms | Google Gemini 4 Argon (-20ms) |
[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
Google DeepMind Oct 2026 frontier release featuring a 1,000,000 (1M) output token limit, 95% cache discount ($0.10/1M), and #1 Vals Index & DeepSWE (77.9%).
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 Microsoft: Phi 4 to Google Gemini 4 Argon
Google DeepMind Oct 2026 frontier release featuring a 1,000,000 (1M) output token limit, 95% cache discount ($0.10/1M), and #1 Vals Index & DeepSWE (77.9%). Verified P90 latency of 260ms.