OpenAI: GPT-5 Mini (batch) vs Moondream: Moondream 3.1: Live Promos, Pricing, Hidden Fees & Latency
OpenAI: GPT-5 Mini (batch) (openai/gpt-5-mini: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).
Moondream: Moondream 3.1 (moondream/moondream3.1-9b-a2b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Moondream: Moondream 3.1: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5 Mini (batch) (API ID: openai/gpt-5-mini:batch) vs Moondream: Moondream 3.1 (API ID: moondream/moondream3.1-9b-a2b), OpenAI: GPT-5 Mini (batch) offers lower standard input pricing at $0.125/1M tokens ($1/1M output), while OpenAI: GPT-5 Mini (batch) leads in cached prefix economics at $0.0625/1M tokens (50% discount). OpenAI: GPT-5 Mini (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-5 Mini (batch) | Moondream: Moondream 3.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5-mini:batch | moondream/moondream3.1-9b-a2b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.125 / $1 | $0.3 / $2.5 | OpenAI: GPT-5 Mini (batch) |
| Cache Read Price (per 1M) | $0.0625/1M (50% Off) | $0.15/1M (50% Off) | OpenAI: GPT-5 Mini (batch) |
| Context Window / Max Output | 391K In / 125K Out | 31K In / 4K Out | OpenAI: GPT-5 Mini (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5 Mini (batch) (-0ms) |
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but wit
Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual questi
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-5 Mini (batch) to Moondream: Moondream 3.1
Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual questi Verified P90 latency of 280ms.