OpenAI: GPT-5.1-Codex-Max vs Google Gemini 4 Argon: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.1-Codex-Max (openai/gpt-5.1-codex-max) vs Google Gemini 4 Argon (gemini-4-argon). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.1-Codex-Max (openai/gpt-5.1-codex-max) 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).
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 OpenAI: GPT-5.1-Codex-Max (API ID: openai/gpt-5.1-codex-max) vs Google Gemini 4 Argon (API ID: gemini-4-argon), OpenAI: GPT-5.1-Codex-Max offers lower standard input pricing at $1.25/1M tokens ($10/1M output), while Google Gemini 4 Argon leads in cached prefix economics at $0.1/1M tokens (95% 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 | OpenAI: GPT-5.1-Codex-Max | Google Gemini 4 Argon | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.1-codex-max | gemini-4-argon | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $10 | $2 / $10 | OpenAI: GPT-5.1-Codex-Max |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $0.1/1M (95% Off) | Google Gemini 4 Argon |
| Context Window / Max Output | 391K In / 125K Out | 2000K In / 1000K Out | Google Gemini 4 Argon |
| P90 First-Token / Edge Latency | 280ms | 260ms | Google Gemini 4 Argon (-20ms) |
GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasonin
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 OpenAI: GPT-5.1-Codex-Max 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.