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Anthropic Claude Sonnet Latest vs Llama 4 Scout

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Anthropic Claude Sonnet Latest and Llama 4 Scout.

Anthropic

Anthropic Claude Sonnet Latest

This model always redirects to the latest model in the Anthropic Claude Sonnet family.

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Meta

Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

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Technical Specifications

SpecificationAnthropic Claude Sonnet LatestLlama 4 Scout
ProviderAnthropicMeta
Context Window1,000,000 tokens10,000,000 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A350 ms
Deployment Modelmanaged apiself hostable
Production Stabilitybetabeta
API AvailableYesYes
Released Date2026-04-272025-04-05

API Pricing Comparison

Input Price per Million Tokens

Anthropic Claude Sonnet Latest

$2.00

Llama 4 Scout

$0.10

Output Price per Million Tokens

Anthropic Claude Sonnet Latest

$10.00

Llama 4 Scout

$0.30

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs8720.0%
Anthropic Claude Sonnet Latest
Llama 4 Scout
HumanEvalPython coding & logic synthesis
N/Avs8950.0%
Anthropic Claude Sonnet Latest
Llama 4 Scout
MATHComplex mathematical problem solving
N/Avs8100.0%
Anthropic Claude Sonnet Latest
Llama 4 Scout
GPQAGraduate-level expert reasoning
N/Avs6680.0%
Anthropic Claude Sonnet Latest
Llama 4 Scout
HellaSwagCommonsense reasoning and inference
N/Avs9450.0%
Anthropic Claude Sonnet Latest
Llama 4 Scout
MT-BenchMulti-turn conversation flow quality
N/Avs910.0%
Anthropic Claude Sonnet Latest
Llama 4 Scout

Anthropic Claude Sonnet Latest Quirks & Gotchas

No developer gotchas reported.

Llama 4 Scout Quirks & Gotchas

  • โ–ธ10M context causes significant VRAM pressure โ€” recommend 4-bit quantization
  • โ–ธPrimarily designed for RAG, not agentic tool calling