LG EXAONE Exaone 3.5 7.8B Instruct vs OpenAI O4 Mini High: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing LG EXAONE Exaone 3.5 7.8B Instruct (lgai-exaone/exaone-3.5-7.8b-instruct) vs OpenAI O4 Mini High (openai/o4-mini-high). Simulate cache read multipliers, context cliffs, MAU bills, and P90 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.
OpenAI O4 Mini High (openai/o4-mini-high) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 95% automatic prefix caching ($0.10/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
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 OpenAI O4 Mini High (API ID: openai/o4-mini-high), 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 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
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.
Gateway-synced rate ($1.1/$4.4 per 1M, flat 200K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | LG EXAONE Exaone 3.5 7.8B Instruct | OpenAI O4 Mini High | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-3.5-7.8b-instruct | openai/o4-mini-high | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.04 / $0.12 | $1.1 / $4.4 | LG EXAONE Exaone 3.5 7.8B Instruct |
| Cache Read Price (per 1M) | $0.004/1M (90% Off) | $0.11/1M (90% Off) | LG EXAONE Exaone 3.5 7.8B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 200K In / 64K Out | LG EXAONE Exaone 3.5 7.8B Instruct |
| P90 First-Token / Edge Latency | 195ms | 195ms | LG EXAONE Exaone 3.5 7.8B Instruct (-0ms) |
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).
OpenAI O4 Mini High (openai/o4-mini-high): OpenRouter gateway-synced model at $1.1/1M input, $4.4/1M output, $0.11/1M cached input (200K 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 OpenAI O4 Mini High
OpenAI O4 Mini High (openai/o4-mini-high): OpenRouter gateway-synced model at $1.1/1M input, $4.4/1M output, $0.11/1M cached input (200K context window). Verified P90 latency of 195ms.