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Claude Opus 4 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 Opus 4 and Llama 3.1 8B.

Anthropic

Claude Opus 4

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...

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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 β€” making it the default choice for on-device AI applications and local prototyping.

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Technical Specifications

SpecificationClaude Opus 4Llama 3.1 8B
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A74/100
Time to First Token (TTFT)N/A80 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-05-222024-07-23

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4

$15.00

Llama 3.1 8B

$0.04

Output Price per Million Tokens

Claude Opus 4

$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
9050.0%vsN/A
Claude Opus 4
Llama 3.1 8B
HumanEvalPython coding & logic synthesis
9300.0%vsN/A
Claude Opus 4
Llama 3.1 8B
MATHComplex mathematical problem solving
8540.0%vsN/A
Claude Opus 4
Llama 3.1 8B
GPQAGraduate-level expert reasoning
7230.0%vsN/A
Claude Opus 4
Llama 3.1 8B
HellaSwagCommonsense reasoning and inference
9650.0%vsN/A
Claude Opus 4
Llama 3.1 8B
MT-BenchMulti-turn conversation flow quality
945.0%vsN/A
Claude Opus 4
Llama 3.1 8B

Claude Opus 4 Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 8B Quirks & Gotchas

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