MythoMax 13B vs OpenAI: GPT-5.6 Luna: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MythoMax 13B (gryphe/mythomax-l2-13b) vs OpenAI: GPT-5.6 Luna (openai/gpt-5.6-luna). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MythoMax 13B (gryphe/mythomax-l2-13b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MythoMax 13B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.04/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: GPT-5.6 Luna (openai/gpt-5.6-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).
In Etuki October 2026 FinOps telemetry comparing MythoMax 13B (API ID: gryphe/mythomax-l2-13b) vs OpenAI: GPT-5.6 Luna (API ID: openai/gpt-5.6-luna), MythoMax 13B offers lower standard input pricing at $0.08/1M tokens ($0.11/1M output), while MythoMax 13B leads in cached prefix economics at $0.04/1M tokens (50% discount). MythoMax 13B 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 | MythoMax 13B | OpenAI: GPT-5.6 Luna | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gryphe/mythomax-l2-13b | openai/gpt-5.6-luna | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.08 / $0.11 | $0.2 / $1.2 | MythoMax 13B |
| Cache Read Price (per 1M) | $0.04/1M (50% Off) | $0.1/1M (50% Off) | MythoMax 13B |
| Context Window / Max Output | 8K In / 4K Out | 1025K In / 125K Out | OpenAI: GPT-5.6 Luna |
| P90 First-Token / Edge Latency | 280ms | 280ms | MythoMax 13B (-0ms) |
One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic
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 MythoMax 13B to OpenAI: GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic Verified P90 latency of 280ms.