meta-llama/llama-4-scout · Meta Llama
Meta's ultra-long-context open model: 109B total (17B active across 16 experts) with unprecedented 10 Million token context window.
Last checked Aug 19, 2026. Calculations use the listed base rates; provider-specific tiers, cache writes, batch pricing, and long-context rules may differ. Confirm the current rate at the official provider source.
Input
$0.15
per 1M tokens
Output
$0.45
per 1M tokens
Cached input
—
not published
Context window
10M
max output 16.4K
Llama 4 Scout (109B MoE) cost calculator
What Llama 4 Scout (109B MoE) costs per task
| Use case | Input tokens | Output tokens | Cost / request | Monthly @ 1K req/day |
|---|---|---|---|---|
| Customer support chatbot | 3,500 | 350 | $0.000683 | $20.475 |
| RAG / search-augmented answers | 8,000 | 500 | $0.001425 | $42.75 |
| AI coding assistant | 12,000 | 2,000 | $0.0027 | $81.00 |
| Document summarization | 25,000 | 600 | $0.00402 | $120.60 |
| Agentic workflow | 40,000 | 1,500 | $0.006675 | $200.25 |
| Content generation | 800 | 1,200 | $0.00066 | $19.80 |
| Data extraction & tagging | 2,000 | 250 | $0.000413 | $12.375 |
| Translation | 5,000 | 5,500 | $0.003225 | $96.75 |
Assumes each use case's typical cacheable share of input. See full cost scenarios.
Compare with alternatives
| Model | Input /M | Output /M | Context | Chat request* |
|---|---|---|---|---|
| Llama 4 Scout (109B MoE) | $0.15 | $0.45 | 10M | $0.00096 |
| GPT-5.6 Sol | $5.00 | $30.00 | 1.1M | $0.035 |
| GPT-5.6 Terra | $2.00 | $12.00 | 1.1M | $0.014 |
| GPT-5.6 Luna | $0.20 | $1.20 | 1.1M | $0.0014 |
| GPT-5.6 Cyber | $12.50 | $75.00 | 1.1M | $0.0875 |
| GPT-5.5 Standard | $5.00 | $30.00 | 512K | $0.035 |
| GPT-5.5 Pro | $30.00 | $180.00 | 512K | $0.21 |
| GPT-5.4 Workhorse | $2.50 | $15.00 | 256K | $0.0175 |
| GPT-5.4 mini | $0.75 | $4.50 | 256K | $0.00525 |
*4,000 in + 800 out tokens, 50% cached input where available.
Related calculations
FAQ
Llama 4 Scout (109B MoE) costs $0.15 per 1M input tokens and $0.45 per 1M output tokens. Verified Aug 19, 2026 against https://www.llama.com/.
Llama 4 Scout (109B MoE) supports a 10,000,000-token context window with up to 16,384 output tokens per request, tokenized with tiktoken_cl100k.
At $0.15/M input and $0.45/M output, Llama 4 Scout (109B MoE) sits below GPT-5.6 Sol ($5.00/M in, $30.00/M out) — see the comparison table for full-workload differences.