Relace: Relace Apply 3 vs OpenAI: GPT-6 Luna (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Relace: Relace Apply 3 (relace/relace-apply-3) vs OpenAI: GPT-6 Luna (batch) (openai/gpt-6-luna:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Relace: Relace Apply 3 (relace/relace-apply-3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Relace: Relace Apply 3: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.425/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: GPT-6 Luna (batch) (openai/gpt-6-luna: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 Relace: Relace Apply 3 (API ID: relace/relace-apply-3) vs OpenAI: GPT-6 Luna (batch) (API ID: openai/gpt-6-luna:batch), OpenAI: GPT-6 Luna (batch) offers lower standard input pricing at $0.05/1M tokens ($0.25/1M output), while OpenAI: GPT-6 Luna (batch) leads in cached prefix economics at $0.025/1M tokens (50% discount). Relace: Relace Apply 3 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 | Relace: Relace Apply 3 | OpenAI: GPT-6 Luna (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | relace/relace-apply-3 | openai/gpt-6-luna:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.85 / $1.25 | $0.05 / $0.25 | OpenAI: GPT-6 Luna (batch) |
| Cache Read Price (per 1M) | $0.425/1M (50% Off) | $0.025/1M (50% Off) | OpenAI: GPT-6 Luna (batch) |
| Context Window / Max Output | 250K In / 125K Out | 1025K In / 125K Out | Relace: Relace Apply 3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Relace: Relace Apply 3 (-0ms) |
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your fil
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classi
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 Relace: Relace Apply 3 to OpenAI: GPT-6 Luna (batch)
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classi Verified P90 latency of 280ms.