OpenAI: GPT-3.5 Turbo Instruct vs OpenAI: GPT Audio: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-3.5 Turbo Instruct (openai/gpt-3.5-turbo-instruct) vs OpenAI: GPT Audio (openai/gpt-audio). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-3.5 Turbo Instruct (openai/gpt-3.5-turbo-instruct) 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).
OpenAI: GPT Audio (openai/gpt-audio) 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 OpenAI: GPT-3.5 Turbo Instruct (API ID: openai/gpt-3.5-turbo-instruct) vs OpenAI: GPT Audio (API ID: openai/gpt-audio), OpenAI: GPT-3.5 Turbo Instruct offers lower standard input pricing at $1.5/1M tokens ($2/1M output), while OpenAI: GPT-3.5 Turbo Instruct leads in cached prefix economics at $0.75/1M tokens (50% discount). OpenAI: GPT-3.5 Turbo Instruct 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-3.5 Turbo Instruct | OpenAI: GPT Audio | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-3.5-turbo-instruct | openai/gpt-audio | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.5 / $2 | $2.5 / $10 | OpenAI: GPT-3.5 Turbo Instruct |
| Cache Read Price (per 1M) | $0.75/1M (50% Off) | $1.25/1M (50% Off) | OpenAI: GPT-3.5 Turbo Instruct |
| Context Window / Max Output | 4K In / 4K Out | 125K In / 16K Out | OpenAI: GPT Audio |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-3.5 Turbo Instruct (-0ms) |
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice con
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-3.5 Turbo Instruct to OpenAI: GPT Audio
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice con Verified P90 latency of 280ms.