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Claude 3 Sonnet vs Llama 3.1 8B

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 3 Sonnet and Llama 3.1 8B.

Anthropic

Claude 3 Sonnet

Claude 3 Sonnet was Anthropic's balanced standard model in the first Claude 3 generation, optimized for a combination of response speed and general-purpose capabilities across writing, summarization, and question answering. Released in March 2024 alongside Opus and Haiku, it occupied the mid-tier positioning in the Claude 3 lineup. Claude 3 Sonnet has since been deprecated, and current use cases requiring similar capability-to-cost balance are best served by the Claude 4 Sonnet series, which offers substantially improved reasoning, context handling, and instruction following at competitive pricing.

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Meta

Llama 3.1 8B

Llama 3.1 8B is Meta's lightweight open-weight model from the Llama 3.1 generation, optimized for efficient deployment on consumer hardware and edge devices. Despite its compact 8-billion-parameter size, it delivers strong performance on instruction following, text summarization, and lightweight coding tasks. Lllama 3.1 8B is the most downloaded model in the Llama family and runs efficiently on laptops, single GPUs, and CPU via quantization โ€” making it the default choice for on-device AI applications and local prototyping.

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Technical Specifications

SpecificationClaude 3 SonnetLlama 3.1 8B
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A74/100
Time to First Token (TTFT)N/A80 ms
Deployment ModelN/Aself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-042024-07-23

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Sonnet

$3.00

Llama 3.1 8B

$0.04

Output Price per Million Tokens

Claude 3 Sonnet

$15.00

Llama 3.1 8B

$0.04

Want to test both models live?

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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
7900.0%vsN/A
Claude 3 Sonnet
Llama 3.1 8B
HumanEvalPython coding & logic synthesis
7300.0%vsN/A
Claude 3 Sonnet
Llama 3.1 8B
MATHComplex mathematical problem solving
4100.0%vsN/A
Claude 3 Sonnet
Llama 3.1 8B
GPQAGraduate-level expert reasoning
3500.0%vsN/A
Claude 3 Sonnet
Llama 3.1 8B
HellaSwagCommonsense reasoning and inference
8900.0%vsN/A
Claude 3 Sonnet
Llama 3.1 8B
MT-BenchMulti-turn conversation flow quality
820.0%vsN/A
Claude 3 Sonnet
Llama 3.1 8B

Claude 3 Sonnet Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 8B Quirks & Gotchas

  • โ–ธPerfect for CPU/edge deployment โ€” runs on Raspberry Pi with quantization
  • โ–ธLimited tool calling vs larger models โ€” best for simple classification and chat