Meta model product
Llama 4 Scout
Llama 4 Scout is a natively multimodal model capable of processing both text and images.
Updated Aug 17, 2026. Default version: Llama 4 Scout
LLMBoard Score13.5Llama 4 Scout
Coverage80%11 benchmark families
Context window10MTokens
Official input priceN/AOfficial price unavailable
Llama 4 Scout Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Llama 4 Scout Benchmark Results
Benchmark scores for Llama 4 Scout.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkTydiQA | Score31.5% | Rank02 | Participants2 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkChartQA | Score88.8% | Rank05 | Participants26 | Percentile84.0% | EvidenceC | Evaluated |
| BenchmarkDocVQA | Score94.4% | Rank08 | Participants28 | Percentile74.1% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score90.6% | Rank08 | Participants31 | Percentile76.7% | EvidenceC | Evaluated |
| BenchmarkMathVista | Score70.7% | Rank14 | Participants39 | Percentile65.8% | EvidenceC | Evaluated |
| BenchmarkMBPP | Score67.8% | Rank24 | Participants33 | Percentile28.1% | EvidenceC | Evaluated |
| BenchmarkMMMU | Score69.4% | Rank34 | Participants63 | Percentile46.8% | EvidenceC | Evaluated |
| BenchmarkMATH | Score50.3% | Rank55 | Participants71 | Percentile22.9% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score32.8% | Rank61 | Participants75 | Percentile18.9% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score79.6% | Rank64 | Participants101 | Percentile37.0% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score74.3% | Rank77 | Participants134 | Percentile42.9% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score57.2% | Rank169 | Participants239 | Percentile29.4% | EvidenceC | Evaluated |
Llama 4 Scout Arena Results
Preference and agent-evaluation results for the default version.
Sort by
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision style control | Categoryoverall | Rank106 | Rating / score1127.9 | Votes6,485 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank107 | Rating / score1118.3 | Votes6,485 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank232 | Rating / score1322.4 | Votes30,396 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank246 | Rating / score1280.3 | Votes30,396 | ObservationsN/A | Result date |
Llama 4 Scout Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.08 input, $0.30 output per 1M via Helicone
- Tracked offerings
- 3
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderHelicone | Provider model IDllama-4-scout | Regionglobal | Input / 1M$0.08 | Output / 1M$0.30 | Context131.1K | Updated |
| ProviderNanoGPT | Provider model IDmeta-llama/llama-4-scout | Regionglobal | Input / 1M$0.085 | Output / 1M$0.46 | Context328K | Updated |
| ProviderOpenRouter | Provider model IDmeta-llama/llama-4-scout | Regionglobal | Input / 1M$0.10 | Output / 1M$0.30 | Context1.3M | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Llama 4 Scout Runtime Performance
Provider-specific output speed and catalog latency for Llama 4 Scout. Runtime does not affect the capability score.
Sort by
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderGroq | Output Speed776.1 tok/s | Catalog Latency1.08 s | Max Input10M | Max Output10M | Updated |
| ProviderLambda | Output Speed139.7 tok/s | Catalog Latency0.43 s | Max Input10M | Max Output10M | Updated |
| ProviderFireworks | Output Speed116.1 tok/s | Catalog Latency0.53 s | Max Input10M | Max Output10M | Updated |
| ProviderTogether | Output Speed106.9 tok/s | Catalog Latency0.54 s | Max Input10M | Max Output10M | Updated |
| ProviderDeepInfra | Output Speed76.1 tok/s | Catalog Latency0.31 s | Max Input10M | Max Output10M | Updated |
| ProviderNovita | Output Speed69.82 tok/s | Catalog Latency0.85 s | Max Input10M | Max Output10M | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Llama 4 Scout Specifications
Technical details for the model's default version.
- Version
- Llama 4 Scout
- Released
- Apr 5, 2025
- Knowledge cutoff
- Unknown
- Parameters
- 109B
- Context window
- 10M
- Max output
- 10M
- Inputs
- image, text
- Outputs
- text
- Open weights
- No
- License
- Llama 4 Community License Agreement
Llama 4 Scout Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLlama 4 Scout | Released | LLMBoard13.5 | Parameters109B | Context10M | Max output10M | Open weightsNo | LicenseLlama 4 Community License Agreement |
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What is Llama 4 Scout?
Key information about Llama 4 Scout and its available data.
Llama 4 Scout is a natively multimodal model capable of processing both text and images. It features a 17 billion activated parameter (109B total) mixture-of-experts (MoE) architecture with 16 experts, supporting a wide range of multimodal tasks such as conversational interaction, image analysis, and code generation.
The model includes a 10 million token context window.
Data as of 2026-08-17.
FAQ
Common questions about Llama 4 Scout.
When was Llama 4 Scout released?
Llama 4 Scout's default version was released on Apr 5, 2025.
How much does Llama 4 Scout cost?
No official standard PAYG price is currently available for Llama 4 Scout. The lowest tracked third-party offer starts at $0.08 input and $0.30 output via Helicone.
Who created Llama 4 Scout?
Llama 4 Scout was created by Meta.
What is the context window for Llama 4 Scout?
The default version has a 10M token context window.
Is Llama 4 Scout open weight?
No. The default version is not marked as having publicly available weights.
How many API providers offer Llama 4 Scout?
3 provider offerings are linked to the default version.
What models should I compare Llama 4 Scout with?
Nearby ranked alternatives include Qwen2.5 32B, GPT-4-Turbo, DeepSeek-V2.5.