LG EXAONE Exaone 3.5 7.8B Instruct vs Qwen 2.5 14B: 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.
Qwen 2.5 14B (qwen/qwen-qwen2.5-14b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen 2.5 14B: Activate ephemeral prefix caching to slash input costs by 95% (down to 0.05/1M) 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 Qwen 2.5 14B (API ID: qwen/qwen-qwen2.5-14b), 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). Qwen 2.5 14B achieves a 50ms faster P90 time-to-first-token latency (145ms 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.
Zero context-cliff surcharge across full 128K context window. Activate prefix caching to slash input token costs by 80% ($0.05/1M).
| Specification / FinOps Dimension | LG EXAONE Exaone 3.5 7.8B Instruct | Qwen 2.5 14B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-3.5-7.8b-instruct | qwen/qwen-qwen2.5-14b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.04 / $0.12 | $0.25 / $1 | LG EXAONE Exaone 3.5 7.8B Instruct |
| Cache Read Price (per 1M) | $0.004/1M (90% Off) | $0.05/1M (95% Off) | LG EXAONE Exaone 3.5 7.8B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 1050K In / 128K Out | Qwen 2.5 14B |
| P90 First-Token / Edge Latency | 195ms | 145ms | Qwen 2.5 14B (-50ms) |
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).
Qwen 2.5 14B is Alibaba Cloud's high-efficiency dense reasoning & coding model featuring 128K context, native tool-calling, and 80% prefix cache savings.
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 Qwen 2.5 14B
Qwen 2.5 14B is Alibaba Cloud's high-efficiency dense reasoning & coding model featuring 128K context, native tool-calling, and 80% prefix cache savings. Verified P90 latency of 145ms.