Reka Edge vs OpenAI: o1-pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Reka Edge (rekaai/reka-edge) vs OpenAI: o1-pro (openai/o1-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
OpenAI: o1-pro (openai/o1-pro) 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 Reka Edge (API ID: rekaai/reka-edge) vs OpenAI: o1-pro (API ID: openai/o1-pro), 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). Reka Edge 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 | Reka Edge | OpenAI: o1-pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | rekaai/reka-edge | openai/o1-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.1 | $150 / $600 | Reka Edge |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $75/1M (50% Off) | Reka Edge |
| Context Window / Max Output | 16K In / 14K Out | 195K In / 98K Out | OpenAI: o1-pro |
| P90 First-Token / Edge Latency | 280ms | 280ms | Reka Edge (-0ms) |
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
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and pr
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 Reka Edge to OpenAI: o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and pr Verified P90 latency of 280ms.