Meta: Llama 4 Maverick vs xAI Grok 4.3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Llama 4 Maverick (meta-llama/llama-4-maverick) vs xAI Grok 4.3 (grok-4.3). 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.
xAI Grok 4.3 (grok-4.3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for xAI Grok 4.3: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Meta: Llama 4 Maverick (API ID: meta-llama/llama-4-maverick) vs xAI Grok 4.3 (API ID: grok-4.3), 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). xAI Grok 4.3 achieves a 100ms faster P90 time-to-first-token latency (180ms vs 280ms).
Auto-discovered via live global telemetry registry.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | Meta: Llama 4 Maverick | xAI Grok 4.3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-4-maverick | grok-4.3 | 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 | 512K In / 128K Out | xAI Grok 4.3 |
| P90 First-Token / Edge Latency | 280ms | 180ms | xAI Grok 4.3 (-100ms) |
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
xAI October 2026 frontier reasoning model with live X/Web grounding and sub-200ms latency.
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 xAI Grok 4.3
xAI October 2026 frontier reasoning model with live X/Web grounding and sub-200ms latency. Verified P90 latency of 180ms.