OpenAI GPT-6 Luna vs Google: Gemma 4 26B A4B (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI GPT-6 Luna (gpt-6-luna) vs Google: Gemma 4 26B A4B (free) (google/gemma-4-26b-a4b-it:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI GPT-6 Luna (gpt-6-luna) 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).
Google: Gemma 4 26B A4B (free) (google/gemma-4-26b-a4b-it:free) — Google AI Startup Credits ($350K) & 50% Cache Promo
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-6 Luna (API ID: gpt-6-luna) vs Google: Gemma 4 26B A4B (free) (API ID: google/gemma-4-26b-a4b-it:free), Google: Gemma 4 26B A4B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Google: Gemma 4 26B A4B (free) leads in cached prefix economics at $0/1M tokens (50% discount). OpenAI GPT-6 Luna achieves a 135ms faster P90 time-to-first-token latency (145ms vs 280ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | OpenAI GPT-6 Luna | Google: Gemma 4 26B A4B (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gpt-6-luna | google/gemma-4-26b-a4b-it:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.5 | $0 / $0 | Google: Gemma 4 26B A4B (free) |
| Cache Read Price (per 1M) | $0.025/1M (75% Off) | $0/1M (50% Off) | Google: Gemma 4 26B A4B (free) |
| Context Window / Max Output | 1000K In / 64K Out | 256K In / 32K Out | OpenAI GPT-6 Luna |
| P90 First-Token / Edge Latency | 145ms | 280ms | OpenAI GPT-6 Luna (-135ms) |
OpenAI ultra-affordable reasoning and logic model with 1M+ token context window for high-volume production pipelines.
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — deli
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-6 Luna to Google: Gemma 4 26B A4B (free)
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — deli Verified P90 latency of 280ms.