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Claude 3.5 Sonnet vs Llama 3.1 405B

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 3.5 Sonnet and Llama 3.1 405B.

Anthropic

Claude 3.5 Sonnet

Claude 3.5 Sonnet was Anthropic's breakout model of 2024, widely regarded as one of the most capable commercial LLMs of its generation. It earned widespread developer praise for its exceptional coding ability, nuanced long-form writing, and reliable complex reasoning across a 200,000-token context window. Claude 3.5 Sonnet introduced computer-use capabilities, enabling it to interact with desktop environments, web browsers, and software tools autonomously. Available via API at $3/MTok for input, it continues to be a popular choice for developers who want a well-rounded, safety-aligned model with strong benchmark performance for coding, analysis, and content generation tasks.

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Meta

Llama 3.1 405B

Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.

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Technical Specifications

SpecificationClaude 3.5 SonnetLlama 3.1 405B
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A90/100
Time to First Token (TTFT)N/A550 ms
Deployment ModelN/Aself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-06-212024-07-23

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Sonnet

$3.00

Llama 3.1 405B

$0.80

Output Price per Million Tokens

Claude 3.5 Sonnet

$15.00

Llama 3.1 405B

$0.80

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
8870.0%vsN/A
Claude 3.5 Sonnet
Llama 3.1 405B
HumanEvalPython coding & logic synthesis
9200.0%vsN/A
Claude 3.5 Sonnet
Llama 3.1 405B
MATHComplex mathematical problem solving
7110.0%vsN/A
Claude 3.5 Sonnet
Llama 3.1 405B
GPQAGraduate-level expert reasoning
5940.0%vsN/A
Claude 3.5 Sonnet
Llama 3.1 405B
HellaSwagCommonsense reasoning and inference
9540.0%vsN/A
Claude 3.5 Sonnet
Llama 3.1 405B
MT-BenchMulti-turn conversation flow quality
935.0%vsN/A
Claude 3.5 Sonnet
Llama 3.1 405B

Claude 3.5 Sonnet Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 405B Quirks & Gotchas

  • โ–ธMassive model โ€” requires 8ร— A100 80GB for FP16 inference
  • โ–ธAvailable via Together AI, Fireworks, and Bedrock as managed API