LG EXAONE Exaone Deep 7.8B vs Alibaba Qwen 3.7 Flash: Live Promos, Pricing, Hidden Fees & 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.
Alibaba Qwen 3.7 Flash (qwen3.7-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Alibaba Qwen 3.7 Flash: Activate ephemeral prefix caching to slash input costs by 80% (down to 0.0056/1M) 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 Alibaba Qwen 3.7 Flash (API ID: qwen3.7-flash), Alibaba Qwen 3.7 Flash offers lower standard input pricing at $0.0281/1M tokens ($0.1124/1M output), while LG EXAONE Exaone Deep 7.8B leads in cached prefix economics at $0.005/1M tokens (90% discount). Alibaba Qwen 3.7 Flash achieves a 75ms faster P90 time-to-first-token latency (120ms 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.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | LG EXAONE Exaone Deep 7.8B | Alibaba Qwen 3.7 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-deep-7.8b | qwen3.7-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $0.0281 / $0.1124 | Alibaba Qwen 3.7 Flash |
| Cache Read Price (per 1M) | $0.005/1M (90% Off) | $0.0056/1M (80% Off) | LG EXAONE Exaone Deep 7.8B |
| Context Window / Max Output | 128K In / 64K Out | 1000K In / 128K Out | Alibaba Qwen 3.7 Flash |
| P90 First-Token / Edge Latency | 195ms | 120ms | Alibaba Qwen 3.7 Flash (-75ms) |
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).
Alibaba Bailian stepped tier model (50% Batch off; <=32K CNY 0.20/0.80, 32K-256K CNY 0.60/2.40, >256K CNY 1.20/4.80; 230.4K soft-cap -> qwen3.8-flash).
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 Alibaba Qwen 3.7 Flash
Alibaba Bailian stepped tier model (50% Batch off; <=32K CNY 0.20/0.80, 32K-256K CNY 0.60/2.40, >256K CNY 1.20/4.80; 230.4K soft-cap -> qwen3.8-flash). Verified P90 latency of 120ms.