Llama 4 Scout
Llama 4 with industry-leading 10M context for documents.
Pricing
Specifications
Benchmark Scores
Strengths
- 10M context
- Open weights
- Document RAG
Weaknesses
- Extreme context has throughput tradeoffs
Historical Intelligence
Pricing, context, and benchmark trends over time
Pricing History
Input and output price per million tokens over time
Context Window Growth
Context window tokens over time
Coding Score Progress
Benchmark score over time (0–100)
Reasoning Score Progress
Benchmark score over time (0–100)
Llama 4 Scout Evolution
Combined pricing trend and benchmark performance
Llama 4 Scout vs related models
Capability radar vs semantically related catalog models
Intelligence Graph
Provider hub →Provider Overview
Meta develops the open-weight Llama model family, enabling self-hosting, fine-tuning, and cost-effective deployment at scale with competitive benchmark performance.
4 models tracked · Documentation
Related Models
Computed from benchmark, pricing, and capability similarity
Llama 4 Maverick
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Why: same provider (Meta), similar coding performance
Confidence88%Llama 3.3 70B
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Why: same provider (Meta), similar coding performance
Confidence80%Gemini 1.5 Pro
Proven Gemini with industry-leading 2M context window.
Why: similar coding performance, similar reasoning scores
Confidence80%Pixtral Large
Mistral multimodal model with strong vision understanding.
Why: similar coding performance, similar reasoning scores
Confidence79%Command A
Cohere flagship agentic model for tool use and search.
Why: similar coding performance, similar reasoning scores
Confidence79%Mistral Large
Mistral flagship for enterprise European deployments.
Why: similar coding performance, similar reasoning scores
Confidence78%
Recommended Comparisons
Side-by-side analysis with semantically similar models
Llama 4 Scout vs Llama 4 Maverick
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Meta), similar coding performance
Confidence88%Llama 4 Scout vs Llama 3.3 70B
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Meta), similar coding performance
Confidence80%Llama 4 Scout vs Gemini 1.5 Pro
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence80%Llama 4 Scout vs Pixtral Large
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence79%Llama 4 Scout vs Command A
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence79%Llama 4 Scout vs Mistral Large
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence78%
Best Alternatives
Higher-scoring models with similar capability profiles
Claude 4 Opus
Anthropic flagship for the most demanding tasks.
Why: +14 overall benchmark score, both vision-capable
Confidence57%GPT-5
OpenAI flagship GPT-5 generation for general and agentic workloads.
Why: +13 overall benchmark score, both vision-capable
Confidence64%Claude Opus 4.1
Anthropic's latest Opus-class model for deep reasoning, coding, and long-form analysis.
Why: +13 overall benchmark score, both vision-capable
Confidence55%Claude 4 Sonnet
Latest Sonnet with improved reasoning and tool use.
Why: +12 overall benchmark score, both vision-capable
Confidence72%
Cheaper Alternatives
Lower-cost models with comparable attributes
Llama 3.3 70B
Open-weight 70B model competitive with larger closed models.
Why: Saves $0.02/M combined tokens vs Llama 4 Scout
Confidence80%Gemini 2.0 Flash Lite
Ultra-cheap Gemini for simple tasks at scale.
Why: Saves $0.28/M combined tokens vs Llama 4 Scout
Confidence78%GPT-4.1 Nano
Ultra-low-cost GPT-4.1 tier for classification and extraction.
Why: Saves $0.15/M combined tokens vs Llama 4 Scout
Confidence78%Gemini 2.0 Flash
Fast multimodal Gemini with native audio and vision.
Why: Saves $0.15/M combined tokens vs Llama 4 Scout
Confidence74%
Related Calculators
AI Cost Calculator
Estimate daily, monthly, and yearly API costs with provider and model selection.
Why: Estimate costs for Llama 4 Scout
Context Window Utilization
Calculate how much of a model's context window you're consuming.
Why: 10000K context window analysis
Token Counter
Convert between words and estimated token counts.
Why: Token estimation for prompt workloads
Inference Latency Estimator
Project response times based on output tokens and throughput.
Why: standard latency tier estimation
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Why: Relevant for Llama 4 Scout workloads
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Prompt Optimizer
Optimize prompts for cost and quality
Why: Relevant for Llama 4 Scout workloads
Subscription Optimizer
Optimize AI subscription spend
Why: Relevant for Llama 4 Scout workloads
Timeline Highlights
Llama 4 Scout — Model Release
Why: Direct model timeline event
Llama 4 Scout — API Release
Why: Direct model timeline event
Llama 4 Scout — Pricing Update
Why: Direct model timeline event
Llama 4 Scout — Context Window Increase
Why: Direct model timeline event
Llama 4 Scout — Vision Support
Why: Direct model timeline event
Latest Releases
Recent launches from related providers