Meta: Llama 4 Maverick vs OpenAI: GPT-6.1 Sol: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Llama 4 Maverick (meta-llama/llama-4-maverick) vs OpenAI: GPT-6.1 Sol (openai/gpt-6.1-sol). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta: Llama 4 Maverick (meta-llama/llama-4-maverick) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 4 Maverick: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0938/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: GPT-6.1 Sol (openai/gpt-6.1-sol) 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).
In Etuki October 2026 FinOps telemetry comparing Meta: Llama 4 Maverick (API ID: meta-llama/llama-4-maverick) vs OpenAI: GPT-6.1 Sol (API ID: openai/gpt-6.1-sol), Meta: Llama 4 Maverick offers lower standard input pricing at $0.1875/1M tokens ($0.6525/1M output), while Meta: Llama 4 Maverick leads in cached prefix economics at $0.0938/1M tokens (50% discount). Meta: Llama 4 Maverick 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 | Meta: Llama 4 Maverick | OpenAI: GPT-6.1 Sol | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-4-maverick | openai/gpt-6.1-sol | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1875 / $0.6525 | $2 / $10 | Meta: Llama 4 Maverick |
| Cache Read Price (per 1M) | $0.0938/1M (50% Off) | $1/1M (50% Off) | Meta: Llama 4 Maverick |
| Context Window / Max Output | 1024K In / 16K Out | 1025K In / 125K Out | OpenAI: GPT-6.1 Sol |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Llama 4 Maverick (-0ms) |
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy pro
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 4 Maverick to OpenAI: GPT-6.1 Sol
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy pro Verified P90 latency of 280ms.