NVIDIA: Nemotron 3 Ultra vs Reka Edge: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing NVIDIA: Nemotron 3 Ultra (nvidia/nemotron-3-ultra-550b-a55b) vs Reka Edge (rekaai/reka-edge). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
NVIDIA: Nemotron 3 Ultra (nvidia/nemotron-3-ultra-550b-a55b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA: Nemotron 3 Ultra: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 NVIDIA: Nemotron 3 Ultra (API ID: nvidia/nemotron-3-ultra-550b-a55b) 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). NVIDIA: Nemotron 3 Ultra 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 | NVIDIA: Nemotron 3 Ultra | Reka Edge | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | nvidia/nemotron-3-ultra-550b-a55b | rekaai/reka-edge | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.6 / $2.4 | $0.1 / $0.1 | Reka Edge |
| Cache Read Price (per 1M) | $0.3/1M (50% Off) | $0.05/1M (50% Off) | Reka Edge |
| Context Window / Max Output | 256K In / 178K Out | 16K In / 14K Out | NVIDIA: Nemotron 3 Ultra |
| P90 First-Token / Edge Latency | 280ms | 280ms | NVIDIA: Nemotron 3 Ultra (-0ms) |
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba m
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 NVIDIA: Nemotron 3 Ultra 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.