← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Sonnet 4.5 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 Claude Sonnet 4.5 and Llama 4 Scout.

Anthropic

Claude Sonnet 4.5

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

View Full Specs
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...

View Full Specs

Technical Specifications

SpecificationClaude Sonnet 4.5Llama 4 Scout
ProviderAnthropicMeta
Context Window1,000,000 tokens10,000,000 tokens
Agent Suitability91/10082/100
Time to First Token (TTFT)380 ms350 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-09-292025-04-05

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.5

$3.00

Llama 4 Scout

$0.10

Output Price per Million Tokens

Claude Sonnet 4.5

$15.00

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
8950.0%vs8720.0%
Claude Sonnet 4.5
Llama 4 Scout
HumanEvalPython coding & logic synthesis
9280.0%vs8950.0%
Claude Sonnet 4.5
Llama 4 Scout
MATHComplex mathematical problem solving
8000.0%vs8100.0%
Claude Sonnet 4.5
Llama 4 Scout
GPQAGraduate-level expert reasoning
6250.0%vs6680.0%
Claude Sonnet 4.5
Llama 4 Scout
HellaSwagCommonsense reasoning and inference
9580.0%vs9450.0%
Claude Sonnet 4.5
Llama 4 Scout
MT-BenchMulti-turn conversation flow quality
930.0%vs910.0%
Claude Sonnet 4.5
Llama 4 Scout

Claude Sonnet 4.5 Quirks & Gotchas

  • Excellent for long-form writing and nuanced document analysis
  • Slightly slower than Sonnet 4.6 — upgrade for production agentic use

Llama 4 Scout Quirks & Gotchas

  • 10M context causes significant VRAM pressure — recommend 4-bit quantization
  • Primarily designed for RAG, not agentic tool calling