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Claude 3 Opus 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 Opus and Llama 3.1 8B.

Anthropic

Claude 3 Opus

Claude 3 Opus is Anthropic's most powerful model from the first Claude 3 generation, engineered for deep analysis, comprehensive research, and demanding multi-step task execution. Released in March 2024, it represented the frontier of Anthropic's capabilities at the time, with a 200,000-token context window suitable for processing large documents, synthesizing diverse research sources, and generating expert-level written content. Priced at $15/MTok for input, Claude 3 Opus remains available for teams with specific requirements for Claude 3-generation behavior, though most use cases are better served by the improved Claude 4 series.

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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 OpusLlama 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 Opus

$15.00

Llama 3.1 8B

$0.04

Output Price per Million Tokens

Claude 3 Opus

$75.00

Llama 3.1 8B

$0.04

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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
8680.0%vsN/A
Claude 3 Opus
Llama 3.1 8B
HumanEvalPython coding & logic synthesis
8490.0%vsN/A
Claude 3 Opus
Llama 3.1 8B
MATHComplex mathematical problem solving
6010.0%vsN/A
Claude 3 Opus
Llama 3.1 8B
GPQAGraduate-level expert reasoning
5040.0%vsN/A
Claude 3 Opus
Llama 3.1 8B
HellaSwagCommonsense reasoning and inference
9500.0%vsN/A
Claude 3 Opus
Llama 3.1 8B
MT-BenchMulti-turn conversation flow quality
900.0%vsN/A
Claude 3 Opus
Llama 3.1 8B

Claude 3 Opus 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