LG EXAONE Exaone Deep 7.8B vs Mistral AI Mistral Nemo: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing LG EXAONE Exaone Deep 7.8B (lgai-exaone/exaone-deep-7.8b) vs Mistral AI Mistral Nemo (mistralai/mistral-nemo). 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.
Mistral AI Mistral Nemo (mistralai/mistral-nemo) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral AI Mistral Nemo: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.0029/1M) 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 Mistral AI Mistral Nemo (API ID: mistralai/mistral-nemo), Mistral AI Mistral Nemo offers lower standard input pricing at $0.029/1M tokens ($0.03/1M output), while Mistral AI Mistral Nemo leads in cached prefix economics at $0.0029/1M 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 ($0.029/$0.03 per 1M, flat 131K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | LG EXAONE Exaone Deep 7.8B | Mistral AI Mistral Nemo | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-deep-7.8b | mistralai/mistral-nemo | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $0.029 / $0.03 | Mistral AI Mistral Nemo |
| Cache Read Price (per 1M) | $0.005/1M (90% Off) | $0.0029/1M (90% Off) | Mistral AI Mistral Nemo |
| Context Window / Max Output | 128K In / 64K Out | 131K 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).
Mistral AI Mistral Nemo (mistralai/mistral-nemo): OpenRouter gateway-synced model at $0.029/1M input, $0.03/1M output, $0.0029/1M cached input (131K 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 Mistral AI Mistral Nemo
Mistral AI Mistral Nemo (mistralai/mistral-nemo): OpenRouter gateway-synced model at $0.029/1M input, $0.03/1M output, $0.0029/1M cached input (131K context window). Verified P90 latency of 195ms.