Essential AI Rnj 1 Instruct vs Meta Llama Llama 3.1 70B Instruct Fp8: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Essential AI Rnj 1 Instruct (essentialai/rnj-1-instruct) vs Meta Llama Llama 3.1 70B Instruct Fp8 (meta-llama/llama-3.1-70b-instruct-fp8). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Essential AI Rnj 1 Instruct (essentialai/rnj-1-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Essential AI Rnj 1 Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.015/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta Llama Llama 3.1 70B Instruct Fp8 (meta-llama/llama-3.1-70b-instruct-fp8) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama Llama 3.1 70B Instruct Fp8: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.02/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Essential AI Rnj 1 Instruct (API ID: essentialai/rnj-1-instruct) vs Meta Llama Llama 3.1 70B Instruct Fp8 (API ID: meta-llama/llama-3.1-70b-instruct-fp8), Essential AI Rnj 1 Instruct offers lower standard input pricing at $0.15/1M tokens ($0.45/1M output), while Essential AI Rnj 1 Instruct leads in cached prefix economics at $0.015/1M tokens (90% discount). Essential AI Rnj 1 Instruct achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.15/$0.45 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.2/$0.35 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | Essential AI Rnj 1 Instruct | Meta Llama Llama 3.1 70B Instruct Fp8 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | essentialai/rnj-1-instruct | meta-llama/llama-3.1-70b-instruct-fp8 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $0.45 | $0.2 / $0.35 | Essential AI Rnj 1 Instruct |
| Cache Read Price (per 1M) | $0.015/1M (90% Off) | $0.02/1M (90% Off) | Essential AI Rnj 1 Instruct |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | Essential AI Rnj 1 Instruct |
| P90 First-Token / Edge Latency | 195ms | 195ms | Essential AI Rnj 1 Instruct (-0ms) |
Essential AI Rnj 1 Instruct (essentialai/rnj-1-instruct): OpenRouter gateway-synced model at $0.15/1M input, $0.45/1M output, $0.015/1M cached input (128K context window).
Meta Llama Llama 3.1 70B Instruct Fp8
API ID: meta-llama/llama-3.1-70b-instruct-fp8 • OpenRouter SyncedMeta Llama Llama 3.1 70B Instruct Fp8 (meta-llama/llama-3.1-70b-instruct-fp8): OpenRouter gateway-synced model at $0.2/1M input, $0.35/1M output, $0.02/1M 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 Essential AI Rnj 1 Instruct to Meta Llama Llama 3.1 70B Instruct Fp8
Meta Llama Llama 3.1 70B Instruct Fp8 (meta-llama/llama-3.1-70b-instruct-fp8): OpenRouter gateway-synced model at $0.2/1M input, $0.35/1M output, $0.02/1M cached input (128K context window). Verified P90 latency of 195ms.