ReMM SLERP 13B vs Meta: Llama 3.1 70B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing ReMM SLERP 13B (undi95/remm-slerp-l2-13b) vs Meta: Llama 3.1 70B Instruct (meta-llama/llama-3.1-70b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
ReMM SLERP 13B (undi95/remm-slerp-l2-13b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for ReMM SLERP 13B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.175/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta: Llama 3.1 70B Instruct (meta-llama/llama-3.1-70b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 3.1 70B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.2/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing ReMM SLERP 13B (API ID: undi95/remm-slerp-l2-13b) vs Meta: Llama 3.1 70B Instruct (API ID: meta-llama/llama-3.1-70b-instruct), ReMM SLERP 13B offers lower standard input pricing at $0.35/1M tokens ($0.65/1M output), while ReMM SLERP 13B leads in cached prefix economics at $0.175/1M tokens (50% discount). ReMM SLERP 13B 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 | ReMM SLERP 13B | Meta: Llama 3.1 70B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | undi95/remm-slerp-l2-13b | meta-llama/llama-3.1-70b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.35 / $0.65 | $0.4 / $0.4 | ReMM SLERP 13B |
| Cache Read Price (per 1M) | $0.175/1M (50% Off) | $0.2/1M (50% Off) | ReMM SLERP 13B |
| Context Window / Max Output | 6K In / 5K Out | 128K In / 16K Out | Meta: Llama 3.1 70B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | ReMM SLERP 13B (-0ms) |
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonst
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 ReMM SLERP 13B to Meta: Llama 3.1 70B Instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonst Verified P90 latency of 280ms.