LG EXAONE Exaone Deep 7.8B vs Google Gemini 2.0 Flash Lite 001: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing LG EXAONE Exaone Deep 7.8B (lgai-exaone/exaone-deep-7.8b) vs Google Gemini 2.0 Flash Lite 001 (google/gemini-2.0-flash-lite-001). 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.
Google Gemini 2.0 Flash Lite 001 (google/gemini-2.0-flash-lite-001) — Google AI Startup Credits ($350K) & 90% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
In Etuki October 2026 FinOps telemetry comparing LG EXAONE Exaone Deep 7.8B (API ID: lgai-exaone/exaone-deep-7.8b) vs Google Gemini 2.0 Flash Lite 001 (API ID: google/gemini-2.0-flash-lite-001), LG EXAONE Exaone Deep 7.8B offers lower standard input pricing at $0.05/1M tokens ($0.15/1M output), while LG EXAONE Exaone Deep 7.8B leads in cached prefix economics at $0.005/1M 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 ($0.075/$0.3 per 1M, flat 1000K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | LG EXAONE Exaone Deep 7.8B | Google Gemini 2.0 Flash Lite 001 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-deep-7.8b | google/gemini-2.0-flash-lite-001 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $0.075 / $0.3 | LG EXAONE Exaone Deep 7.8B |
| Cache Read Price (per 1M) | $0.005/1M (90% Off) | $0.0075/1M (90% Off) | LG EXAONE Exaone Deep 7.8B |
| Context Window / Max Output | 128K In / 64K Out | 1000K 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).
Google Gemini 2.0 Flash Lite 001 (google/gemini-2.0-flash-lite-001): OpenRouter gateway-synced model at $0.075/1M input, $0.3/1M output, $0.0075/1M cached input (1000K 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 Google Gemini 2.0 Flash Lite 001
Google Gemini 2.0 Flash Lite 001 (google/gemini-2.0-flash-lite-001): OpenRouter gateway-synced model at $0.075/1M input, $0.3/1M output, $0.0075/1M cached input (1000K context window). Verified P90 latency of 195ms.