OpenAI: GPT-3.5 Turbo (older v0613) vs Meta: Llama 3.1 8B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-3.5 Turbo (older v0613) (openai/gpt-3.5-turbo-0613) vs Meta: Llama 3.1 8B Instruct (meta-llama/llama-3.1-8b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-3.5 Turbo (older v0613) (openai/gpt-3.5-turbo-0613) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 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).
Meta: Llama 3.1 8B Instruct (meta-llama/llama-3.1-8b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 3.1 8B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.025/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-3.5 Turbo (older v0613) (API ID: openai/gpt-3.5-turbo-0613) vs Meta: Llama 3.1 8B Instruct (API ID: meta-llama/llama-3.1-8b-instruct), Meta: Llama 3.1 8B Instruct offers lower standard input pricing at $0.05/1M tokens ($0.08/1M output), while Meta: Llama 3.1 8B Instruct leads in cached prefix economics at $0.025/1M tokens (50% discount). OpenAI: GPT-3.5 Turbo (older v0613) achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | OpenAI: GPT-3.5 Turbo (older v0613) | Meta: Llama 3.1 8B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-3.5-turbo-0613 | meta-llama/llama-3.1-8b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $2 | $0.05 / $0.08 | Meta: Llama 3.1 8B Instruct |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.025/1M (50% Off) | Meta: Llama 3.1 8B Instruct |
| Context Window / Max Output | 4K In / 4K Out | 128K In / 115K Out | Meta: Llama 3.1 8B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-3.5 Turbo (older v0613) (-0ms) |
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to S
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance co
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 OpenAI: GPT-3.5 Turbo (older v0613) to Meta: Llama 3.1 8B Instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance co Verified P90 latency of 280ms.