LG EXAONE Exaone 3.5 7.8B Instruct vs Mistral Large 3 (2609): Live Promos, Pricing, Hidden Fees & Latency
LG EXAONE Exaone 3.5 7.8B Instruct (lgai-exaone/exaone-3.5-7.8b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for LG EXAONE Exaone 3.5 7.8B Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.004/1M) or route via asynchronous Batch API for 50% off standard token rates.
Mistral Large 3 (2609) (mistral-large-2609) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral Large 3 (2609): Activate ephemeral prefix caching to slash input costs by 90% (down to 0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing LG EXAONE Exaone 3.5 7.8B Instruct (API ID: lgai-exaone/exaone-3.5-7.8b-instruct) vs Mistral Large 3 (2609) (API ID: mistral-large-2609), LG EXAONE Exaone 3.5 7.8B Instruct offers lower standard input pricing at $0.04/1M tokens ($0.12/1M output), while LG EXAONE Exaone 3.5 7.8B Instruct leads in cached prefix economics at $0.004/1M tokens (90% discount). LG EXAONE Exaone 3.5 7.8B Instruct achieves a 15ms faster P90 time-to-first-token latency (195ms vs 210ms).
Gateway-synced rate ($0.04/$0.12 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | LG EXAONE Exaone 3.5 7.8B Instruct | Mistral Large 3 (2609) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-3.5-7.8b-instruct | mistral-large-2609 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.04 / $0.12 | $1.5 / $4.5 | LG EXAONE Exaone 3.5 7.8B Instruct |
| Cache Read Price (per 1M) | $0.004/1M (90% Off) | $0.15/1M (90% Off) | LG EXAONE Exaone 3.5 7.8B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 256K In / 128K Out | Mistral Large 3 (2609) |
| P90 First-Token / Edge Latency | 195ms | 210ms | LG EXAONE Exaone 3.5 7.8B Instruct (-15ms) |
LG EXAONE Exaone 3.5 7.8B Instruct (lgai-exaone/exaone-3.5-7.8b-instruct): OpenRouter gateway-synced model at $0.04/1M input, $0.12/1M output, $0.004/1M cached input (128K context window).
Mistral AI frontier multilingual & reasoning model ($1.50/$4.50 per 1M, $0.15 cache read [90% off], 256K 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 3.5 7.8B Instruct to Mistral Large 3 (2609)
Mistral AI frontier multilingual & reasoning model ($1.50/$4.50 per 1M, $0.15 cache read [90% off], 256K context window). Verified P90 latency of 210ms.