OpenAI: GPT-6 Luna (batch) vs Nex AGI: Nex-N2.5-Mini: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6 Luna (batch) (openai/gpt-6-luna:batch) vs Nex AGI: Nex-N2.5-Mini (nex-agi/nex-n2.5-mini). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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).
Nex AGI: Nex-N2.5-Mini (nex-agi/nex-n2.5-mini) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Nex AGI: Nex-N2.5-Mini: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0125/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-6 Luna (batch) (API ID: openai/gpt-6-luna:batch) vs Nex AGI: Nex-N2.5-Mini (API ID: nex-agi/nex-n2.5-mini), Nex AGI: Nex-N2.5-Mini offers lower standard input pricing at $0.025/1M tokens ($0.1/1M output), while Nex AGI: Nex-N2.5-Mini leads in cached prefix economics at $0.0125/1M tokens (50% discount). OpenAI: GPT-6 Luna (batch) 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 | OpenAI: GPT-6 Luna (batch) | Nex AGI: Nex-N2.5-Mini | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6-luna:batch | nex-agi/nex-n2.5-mini | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.25 | $0.025 / $0.1 | Nex AGI: Nex-N2.5-Mini |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.0125/1M (50% Off) | Nex AGI: Nex-N2.5-Mini |
| Context Window / Max Output | 1025K In / 125K Out | 256K In / 230K Out | Nex AGI: Nex-N2.5-Mini |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6 Luna (batch) (-0ms) |
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
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, imple
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 (batch) to Nex AGI: Nex-N2.5-Mini
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, imple Verified P90 latency of 280ms.