Google Gemini 4 Argon vs OpenAI: GPT-6.1 Sol (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google Gemini 4 Argon (gemini-4-argon) vs OpenAI: GPT-6.1 Sol (batch) (openai/gpt-6.1-sol:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
OpenAI: GPT-6.1 Sol (batch) (openai/gpt-6.1-sol: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).
In Etuki October 2026 FinOps telemetry comparing Google Gemini 4 Argon (API ID: gemini-4-argon) vs OpenAI: GPT-6.1 Sol (batch) (API ID: openai/gpt-6.1-sol:batch), OpenAI: GPT-6.1 Sol (batch) offers lower standard input pricing at $1/1M tokens ($5/1M 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).
Introductory $2/$10 API rate is locked until Nov 30, 2026, after which standard uncached rates rise to $4/$20.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Google Gemini 4 Argon | OpenAI: GPT-6.1 Sol (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gemini-4-argon | openai/gpt-6.1-sol:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $10 | $1 / $5 | OpenAI: GPT-6.1 Sol (batch) |
| Cache Read Price (per 1M) | $0.1/1M (95% Off) | $0.5/1M (50% Off) | Google Gemini 4 Argon |
| Context Window / Max Output | 2000K In / 1000K Out | 1025K In / 125K Out | Google Gemini 4 Argon |
| P90 First-Token / Edge Latency | 260ms | 280ms | Google Gemini 4 Argon (-20ms) |
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%).
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy pro
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 Google Gemini 4 Argon to OpenAI: GPT-6.1 Sol (batch)
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy pro Verified P90 latency of 280ms.