Google Gemini 2.0 Pro Exp vs Meta Llama Llama 3.2 11B Vision Instruct: Live Promos, Pricing, Hidden Fees & Latency
Google Gemini 2.0 Pro Exp (google/gemini-2.0-pro-exp) — Google AI Startup Credits ($350K) & 95% 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.
Meta Llama Llama 3.2 11B Vision Instruct (meta-llama/llama-3.2-11b-vision-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama Llama 3.2 11B Vision Instruct: 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.
In Etuki October 2026 FinOps telemetry comparing Google Gemini 2.0 Pro Exp (API ID: google/gemini-2.0-pro-exp) vs Meta Llama Llama 3.2 11B Vision Instruct (API ID: meta-llama/llama-3.2-11b-vision-instruct), Meta Llama Llama 3.2 11B Vision Instruct offers lower standard input pricing at $0.05/1M tokens ($0.05/1M output), while Meta Llama Llama 3.2 11B Vision Instruct leads in cached prefix economics at $0.005/1M tokens (90% discount). Google Gemini 2.0 Pro Exp achieves a 50ms faster P90 time-to-first-token latency (145ms vs 195ms).
Prompts exceeding 200K tokens incur 2x tier pricing unless pinned via Google AI Studio Context Caching (75% off).
Gateway-synced rate ($0.05/$0.05 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | Google Gemini 2.0 Pro Exp | Meta Llama Llama 3.2 11B Vision Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.0-pro-exp | meta-llama/llama-3.2-11b-vision-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $5 | $0.05 / $0.05 | Meta Llama Llama 3.2 11B Vision Instruct |
| Cache Read Price (per 1M) | $0.25/1M (95% Off) | $0.005/1M (90% Off) | Meta Llama Llama 3.2 11B Vision Instruct |
| Context Window / Max Output | 1050K In / 128K Out | 128K In / 64K Out | Google Gemini 2.0 Pro Exp |
| P90 First-Token / Edge Latency | 145ms | 195ms | Google Gemini 2.0 Pro Exp (-50ms) |
Google Gemini 2.0 Pro Exp is Google DeepMind's native multimodal frontier model supporting up to 2M context tokens and implicit context caching.
Meta Llama Llama 3.2 11B Vision Instruct
API ID: meta-llama/llama-3.2-11b-vision-instruct • OpenRouter SyncedMeta Llama Llama 3.2 11B Vision Instruct (meta-llama/llama-3.2-11b-vision-instruct): OpenRouter gateway-synced model at $0.05/1M input, $0.05/1M output, $0.005/1M 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 Google Gemini 2.0 Pro Exp to Meta Llama Llama 3.2 11B Vision Instruct
Meta Llama Llama 3.2 11B Vision Instruct (meta-llama/llama-3.2-11b-vision-instruct): OpenRouter gateway-synced model at $0.05/1M input, $0.05/1M output, $0.005/1M cached input (128K context window). Verified P90 latency of 195ms.