OpenAI: GPT Audio vs Reka Edge: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT Audio (openai/gpt-audio) vs Reka Edge (rekaai/reka-edge). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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).
Reka Edge (rekaai/reka-edge) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Reka Edge: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT Audio (API ID: openai/gpt-audio) vs Reka Edge (API ID: rekaai/reka-edge), Reka Edge offers lower standard input pricing at $0.1/1M tokens ($0.1/1M output), while Reka Edge leads in cached prefix economics at $0.05/1M tokens (50% discount). OpenAI: GPT Audio 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 Audio | Reka Edge | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-audio | rekaai/reka-edge | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $10 | $0.1 / $0.1 | Reka Edge |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $0.05/1M (50% Off) | Reka Edge |
| Context Window / Max Output | 125K In / 16K Out | 16K In / 14K Out | OpenAI: GPT Audio |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT Audio (-0ms) |
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
Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to del
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 Audio to Reka Edge
Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to del Verified P90 latency of 280ms.