Llama 4 Scout Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Knowledge cutoff | Aug 1, 2024 |
| Context window | 10m ~15000 A4 pages of size 12 Arial font |
| Total parameters | 109B |
| Active parameters | 17B Number of parameters active per token during inference |
| License | LLAMA 4 COMMUNITY LICENSE AGREEMENT |
| Model weights | Hugging Face |
Llama 4 Scout is above average in intelligence and reasonably priced when comparing to other open weight non-reasoning models of similar size. It's also notably fast, however very verbose. The model supports text and image input, outputs text, and has a 10m tokens context window with knowledge up to August 2024.
Llama 4 Scout scores 14 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 13). When evaluating the Intelligence Index, it generated 7.3M tokens, which is very verbose in comparison to the average of 3.8M.
Pricing for Llama 4 Scout is $0.17 per 1M input tokens (moderately priced, average: $0.20) and $0.66 per 1M output tokens (somewhat expensive, average: $0.57). In total, it cost $26.42 to evaluate Llama 4 Scout on the Intelligence Index.
At 130 tokens per second, Llama 4 Scout is notably fast (62).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Llama 4 Scout API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Llama 4 Scout
Llama 4 Scout was released on April 5, 2025.
Llama 4 Scout was created by Meta.
Llama 4 Scout scores 14 on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 13).
Llama 4 Scout generates output at 130.2 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight non-reasoning models of similar size (median: 62.4 t/s).
Llama 4 Scout has a time to first token (TTFT) of 0.73s (based on the median across providers serving the model), which is very competitive compared to other open weight non-reasoning models of similar size (median: 1.40s).
Llama 4 Scout costs $0.17 per 1M input tokens (very competitive, median: $0.52) and $0.66 per 1M output tokens (better than average, median: $0.81), based on the median across providers serving the model.
Llama 4 Scout costs $0.17 per 1M input tokens and $0.66 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.29 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Llama 4 Scout generated 7.3M output tokens, which is at the higher end compared to other open weight non-reasoning models of similar size (median: 3.8M).
No, Llama 4 Scout is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Llama 4 Scout supports text and image input.
Llama 4 Scout supports text output.
Yes, Llama 4 Scout supports image input and can analyze, describe, and answer questions about images.
Yes, Llama 4 Scout is multimodal. It can process text and image input and generate text output.
Llama 4 Scout has a context window of 10M tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Llama 4 Scout is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Llama 4 Scout has 109 billion parameters (17 billion active).
Llama 4 Scout is a Mixture of Experts (MoE) model with 109 billion total parameters, but only 17 billion active parameters are used during inference.
Llama 4 Scout is released under the LLAMA 4 COMMUNITY LICENSE AGREEMENT license. This license allows commercial use. View license
Llama 4 Scout achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Llama 4 Scout has a knowledge cutoff of August 2024. The model's training data includes information up to this date.
Yes, Llama 4 Scout is available via API through 9 providers. Compare API providers
Llama 4 Scout is available through 9 API providers. Compare providers