LG EXAONE Exaone 3.5 32B Instruct vs Meta Llama Llama 3.2 90B Vision Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing LG EXAONE Exaone 3.5 32B Instruct (lgai-exaone/exaone-3.5-32b-instruct) vs Meta Llama Llama 3.2 90B Vision Instruct (meta-llama/llama-3.2-90b-vision-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
LG EXAONE Exaone 3.5 32B Instruct (lgai-exaone/exaone-3.5-32b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for LG EXAONE Exaone 3.5 32B Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.012/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta Llama Llama 3.2 90B Vision Instruct (meta-llama/llama-3.2-90b-vision-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama Llama 3.2 90B Vision Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.035/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing LG EXAONE Exaone 3.5 32B Instruct (API ID: lgai-exaone/exaone-3.5-32b-instruct) vs Meta Llama Llama 3.2 90B Vision Instruct (API ID: meta-llama/llama-3.2-90b-vision-instruct), LG EXAONE Exaone 3.5 32B Instruct offers lower standard input pricing at $0.12/1M tokens ($0.36/1M output), while LG EXAONE Exaone 3.5 32B Instruct leads in cached prefix economics at $0.012/1M tokens (90% discount). LG EXAONE Exaone 3.5 32B Instruct achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.12/$0.36 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.35/$0.4 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | LG EXAONE Exaone 3.5 32B Instruct | Meta Llama Llama 3.2 90B Vision Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-3.5-32b-instruct | meta-llama/llama-3.2-90b-vision-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.12 / $0.36 | $0.35 / $0.4 | LG EXAONE Exaone 3.5 32B Instruct |
| Cache Read Price (per 1M) | $0.012/1M (90% Off) | $0.035/1M (90% Off) | LG EXAONE Exaone 3.5 32B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | LG EXAONE Exaone 3.5 32B Instruct |
| P90 First-Token / Edge Latency | 195ms | 195ms | LG EXAONE Exaone 3.5 32B Instruct (-0ms) |
LG EXAONE Exaone 3.5 32B Instruct (lgai-exaone/exaone-3.5-32b-instruct): OpenRouter gateway-synced model at $0.12/1M input, $0.36/1M output, $0.012/1M cached input (128K context window).
Meta Llama Llama 3.2 90B Vision Instruct
API ID: meta-llama/llama-3.2-90b-vision-instruct • OpenRouter SyncedMeta Llama Llama 3.2 90B Vision Instruct (meta-llama/llama-3.2-90b-vision-instruct): OpenRouter gateway-synced model at $0.35/1M input, $0.4/1M output, $0.035/1M cached input (128K 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 32B Instruct to Meta Llama Llama 3.2 90B Vision Instruct
Meta Llama Llama 3.2 90B Vision Instruct (meta-llama/llama-3.2-90b-vision-instruct): OpenRouter gateway-synced model at $0.35/1M input, $0.4/1M output, $0.035/1M cached input (128K context window). Verified P90 latency of 195ms.