LG EXAONE Exaone Deep 7.8B vs NVIDIA Llama 3.1 Nemotron Nano 8B V1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing LG EXAONE Exaone Deep 7.8B (lgai-exaone/exaone-deep-7.8b) vs NVIDIA Llama 3.1 Nemotron Nano 8B V1 (nvidia/llama-3.1-nemotron-nano-8b-v1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
LG EXAONE Exaone Deep 7.8B (lgai-exaone/exaone-deep-7.8b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for LG EXAONE Exaone Deep 7.8B: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.005/1M) or route via asynchronous Batch API for 50% off standard token rates.
NVIDIA Llama 3.1 Nemotron Nano 8B V1 (nvidia/llama-3.1-nemotron-nano-8b-v1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA Llama 3.1 Nemotron Nano 8B V1: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.003/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing LG EXAONE Exaone Deep 7.8B (API ID: lgai-exaone/exaone-deep-7.8b) vs NVIDIA Llama 3.1 Nemotron Nano 8B V1 (API ID: nvidia/llama-3.1-nemotron-nano-8b-v1), NVIDIA Llama 3.1 Nemotron Nano 8B V1 offers lower standard input pricing at $0.03/1M tokens ($0.09/1M output), while NVIDIA Llama 3.1 Nemotron Nano 8B V1 leads in cached prefix economics at $0.003/1M tokens (90% discount). LG EXAONE Exaone Deep 7.8B achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.05/$0.15 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.03/$0.09 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | LG EXAONE Exaone Deep 7.8B | NVIDIA Llama 3.1 Nemotron Nano 8B V1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-deep-7.8b | nvidia/llama-3.1-nemotron-nano-8b-v1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $0.03 / $0.09 | NVIDIA Llama 3.1 Nemotron Nano 8B V1 |
| Cache Read Price (per 1M) | $0.005/1M (90% Off) | $0.003/1M (90% Off) | NVIDIA Llama 3.1 Nemotron Nano 8B V1 |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | LG EXAONE Exaone Deep 7.8B |
| P90 First-Token / Edge Latency | 195ms | 195ms | LG EXAONE Exaone Deep 7.8B (-0ms) |
LG EXAONE Exaone Deep 7.8B (lgai-exaone/exaone-deep-7.8b): OpenRouter gateway-synced model at $0.05/1M input, $0.15/1M output, $0.005/1M cached input (128K context window).
NVIDIA Llama 3.1 Nemotron Nano 8B V1
API ID: nvidia/llama-3.1-nemotron-nano-8b-v1 • OpenRouter SyncedNVIDIA Llama 3.1 Nemotron Nano 8B V1 (nvidia/llama-3.1-nemotron-nano-8b-v1): OpenRouter gateway-synced model at $0.03/1M input, $0.09/1M output, $0.003/1M cached input (128K context window).
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 LG EXAONE Exaone Deep 7.8B to NVIDIA Llama 3.1 Nemotron Nano 8B V1
NVIDIA Llama 3.1 Nemotron Nano 8B V1 (nvidia/llama-3.1-nemotron-nano-8b-v1): OpenRouter gateway-synced model at $0.03/1M input, $0.09/1M output, $0.003/1M cached input (128K context window). Verified P90 latency of 195ms.