Meta Llama Codellama 34B Instruct vs OpenAI GPT-6 Luna: Live Promos, Pricing, Hidden Fees & Latency
Meta Llama Codellama 34B Instruct (meta-llama/codellama-34b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama Codellama 34B 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.
OpenAI GPT-6 Luna (gpt-6-luna) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 95% automatic prefix caching ($0.10/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing Meta Llama Codellama 34B Instruct (API ID: meta-llama/codellama-34b-instruct) vs OpenAI GPT-6 Luna (API ID: gpt-6-luna), OpenAI GPT-6 Luna offers lower standard input pricing at $0.1/1M tokens ($0.5/1M output), while OpenAI GPT-6 Luna leads in cached prefix economics at $0.01/1M tokens (90% discount). OpenAI GPT-6 Luna achieves a 110ms faster P90 time-to-first-token latency (85ms vs 195ms).
Gateway-synced rate ($0.12/$0.24 per 1M, flat 64K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
<=272K: $0.10/$0.50 ($0.01 cache, $0.125 write); >272K full-request cliff: $0.20/$0.75 ($0.02 cache).
| Specification / FinOps Dimension | Meta Llama Codellama 34B Instruct | OpenAI GPT-6 Luna | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/codellama-34b-instruct | gpt-6-luna | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.12 / $0.24 | $0.1 / $0.5 | OpenAI GPT-6 Luna |
| Cache Read Price (per 1M) | $0.012/1M (90% Off) | $0.01/1M (90% Off) | OpenAI GPT-6 Luna |
| Context Window / Max Output | 64K In / 64K Out | 1050K In / 64K Out | Meta Llama Codellama 34B Instruct |
| P90 First-Token / Edge Latency | 195ms | 85ms | OpenAI GPT-6 Luna (-110ms) |
Meta Llama Codellama 34B Instruct (meta-llama/codellama-34b-instruct): OpenRouter gateway-synced model at $0.12/1M input, $0.24/1M output, $0.012/1M cached input (64K context window).
OpenAI Sep 22, 2026 high-throughput compact model priced 100x cheaper than GPT-6 Astra ($0.10/$0.50, Official Cache Read $0.01/1M).
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 Meta Llama Codellama 34B Instruct to OpenAI GPT-6 Luna
OpenAI Sep 22, 2026 high-throughput compact model priced 100x cheaper than GPT-6 Astra ($0.10/$0.50, Official Cache Read $0.01/1M). Verified P90 latency of 85ms.