Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.1 405B Instruct

Meta

Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.1 8B Instruct

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.1 405B Instruct

Meta

2024-07-23

Llama 3.1 8B Instruct

Meta

2024-07-23

0 days newer

Pricing Comparison

Cost per million tokens (USD)

Llama 3.1 405B Instruct

Input:$0.89

Output:$0.89

Llama 3.1 8B Instruct

$1.72 cheaper

Input:$0.03

Output:$0.03

Performance Metrics

Context window and performance specifications

Llama 3.1 405B Instruct

Max Context:256.0K

Parameters:405.0B

Llama 3.1 8B Instruct

Larger context

Max Context:262.1K

Parameters:8.0B

Average performance across 15 common benchmarks

Llama 3.1 405B Instruct

+18.1%

Average Score:77.7%

Llama 3.1 8B Instruct

Average Score:59.6%

Performance comparison across key benchmark categories

Llama 3.1 405B Instruct

reasoning

+13.5%

96.9%

math

+19.0%

87.4%

code

+15.6%

81.4%

general

+19.2%

73.2%

Llama 3.1 8B Instruct

reasoning

83.4%

math

68.4%

code

65.8%

general

54.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 8B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 405B Instruct

8 providers

Together

Throughput: 35 tok/s

Latency: 0.5ms

Hyperbolic

Throughput: 40 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 27 tok/s

Latency: 0.5ms

Google

Throughput: 42 tok/s

Latency: 0.4ms

Fireworks

Throughput: 78 tok/s

Latency: 0.5ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Lambda

Throughput: 42 tok/s

Latency: 0.5ms

Replicate

Throughput: 22 tok/s

Latency: 0.5ms

Llama 3.1 8B Instruct

9 providers

Sambanova

Throughput: 1050 tok/s

Latency: 0.5ms

Together

Throughput: 194 tok/s

Latency: 0.5ms

Hyperbolic

Throughput: 200 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 118 tok/s

Latency: 0.5ms

Fireworks

Throughput: 292 tok/s

Latency: 0.5ms

Groq

Throughput: 750 tok/s

Latency: 0.5ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Lambda

Throughput: 42 tok/s

Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s

Latency: 0.2ms

Llama 3.1 405B Instruct

+18.1%

Avg Score:77.7%

Providers:8

Llama 3.1 8B Instruct

Avg Score:59.6%

Providers:9