Llama 4 Scout
A 109B MoE with 17B active parameters across 16 experts that fits on a single H100 with INT4 quantization.
- Params
- 109B, 17B active
- Context
- 10M tokens
- Cutoff
- Released
- License
- Llama 4 Community License
Hosted API price
Cheapest via Azure · per 1M tokens
- Input
- $0.16 /1M
- Output
- $0.64 /1M
- Hosted by
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5 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Llama 4 Scout, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|
|
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$0.16 | $0.64 | $2.88 | Visit website |
|
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$0.17 | $0.65 | $3.00 | Visit website |
|
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$0.18 | $0.59 | $2.98 | Visit website |
|
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$0.27 | $0.85 | $4.40 | Visit website |
|
|
Open weights, no hosted price | Visit website | ||
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Llama 4 Scout needs about 68 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3060 at about $461 a month.
That costs the same as roughly 2B tokens a month on Azure's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 68 GB |
|
$461 | 2B tokens /mo |
| 8-bit FP8 / INT8 | 114 GB |
|
$749 | 3B tokens /mo |
| 16-bit FP16 / BF16 | 226 GB |
|
$3,283 | 14B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
Similarly priced models
The models nearest Llama 4 Scout by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Llama 4 Scout |
|---|---|---|---|---|---|---|
|
|
$0.225 | $0.15 | $0.60 | 128K | Oct 2023 | −6% |
|
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$0.225 | $0.15 | $0.60 | 205K | −6% | |
|
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$0.225 | $0.15 | $0.60 | 256K | −6% | |
|
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$0.225 | $0.17 | $0.50 | 262K | −6% | |
|
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$0.2283 | $0.078 | $0.98 | 262K | −5% | |
|
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$0.24 | $0.16 | $0.64 | 10M | Aug 2024 | |
|
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$0.2487 | $0.115 | $0.917 | 262K | +4% | |
|
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$0.2827 | $0.20 | $0.696 | 1M | Aug 2024 | +18% |
|
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$0.2833 | $0.20 | $0.70 | 262K | +18% | |
|
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$0.30 | $0.20 | $0.80 | 131K | Jan 2026 | +25% |
|
|
$0.30 | $0.30 | $0.30 | 33K | +25% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What Llama 4 Scout accepts and can do, as published by Meta.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Function calling Connect to external tools, APIs, and systems.
Common questions
What is Llama 4 Scout good for?
Text and image work over an extremely long context. Open weights under the Llama 4 Community License, servable on a single high-memory GPU.
When is Llama 4 Scout not a good fit?
Video input and structured output, which it has neither of. Memory follows the full 109B parameters, not the 17B active, so it takes more than Meta's dense 70B Llamas.
What is the cheapest way to run Llama 4 Scout?
Can I self-host Llama 4 Scout?
Yes. The weights are released under the Llama 4 Community License. At 4-bit it needs about 68 GB of GPU memory, which starts at roughly $461 a month on the cheapest rental that fits.
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