Model Comparison

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

Meta

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.

Meta

Llama 3.1 70B Instruct

Meta

Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K 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.

Meta

Llama 3.1 405B Instruct

Meta

2024-07-23

Meta

Llama 3.1 70B Instruct

Meta

2024-07-23

0 days newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 405B Instruct

Input:$0.89
Output:$0.89
Meta

Llama 3.1 70B Instruct

$1.38 cheaper
Input:$0.20
Output:$0.20

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 405B Instruct

Max Context:256.0K
Parameters:405.0B
Meta

Llama 3.1 70B Instruct

Max Context:256.0K
Parameters:70.0B

Average performance across 15 common benchmarks

Meta

Llama 3.1 405B Instruct

+4.7%
Average Score:77.7%
Meta

Llama 3.1 70B Instruct

Average Score:73.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

reasoning
+2.1%
96.9%
math
+4.1%
87.4%
code
+5.1%
81.4%
general
+4.5%
73.2%
Meta

Llama 3.1 70B Instruct

reasoning
94.8%
math
83.3%
code
76.3%
general
68.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

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
Meta

Llama 3.1 70B Instruct

9 providers

Sambanova

Throughput: 74 tok/s
Latency: 0.5ms

Together

Throughput: 94 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms

Fireworks

Throughput: 32 tok/s
Latency: 0.5ms

Groq

Throughput: 250 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 1204 tok/s
Latency: 0.2ms
Meta

Llama 3.1 405B Instruct

+4.7%
Avg Score:77.7%
Providers:8
Meta

Llama 3.1 70B Instruct

Avg Score:73.0%
Providers:9