Llama 4 Scout is Meta's language model with a 10.0M context window and up to 16K output tokens, available from 5 providers, starting at $0.1 / 1M input and $0.3 / 1M output. Meta's Llama 4 Scout MoE LLM with 17B active parameters and 16 experts, offering efficient multimodal inference with native image and text support.
Capabilities
Input2/5
Text✓
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities3/13
Reasoning·
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | Batch | ||
|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | |
| $0.25 | $0.7 | $0.125 | $0.35 | |
| $0.25 | $0.7 | $0.125 | $0.35 | |
| $0.1 | $0.3 | — | — | |
| $0.204 | $0.792 | $0.102 | $0.396 | |
| $0.17 | $0.66 | — | — | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Llama 4 Scout, ranked by cheapest on-demand price. The model needs about 261 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NC96ads_A100_v4 | 4× NVIDIA A100 | 320 GB | $14.69/hr | westus2 | ||
| g7e.24xlarge | 4× RTX PRO Server 6000 | 384 GB | $16.57/hr | us-east-1 | ||
| p4d.24xlarge | 8× A100 | 320 GB | $21.96/hr | us-west-2 | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| LlamaGuard 4 12B | 164K | $0.180 | $0.180 | Available | |
| Llama 4 Scout | 10.0M | $0.100 | $0.300 | Current | |
| Llama 4 Maverick | 1.0M | $0.120 | $0.485 | Available |