Model Comparison

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

Meta

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.

OpenAI

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Meta

Llama 3.1 8B Instruct

Meta

2024-07-23

OpenAI

o1

OpenAI

2024-12-17

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 8B Instruct

$74.94 cheaper
Input:$0.03
Output:$0.03
OpenAI

o1

Input:$15.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 8B Instruct

Max Context:262.1K
Parameters:8.0B
OpenAI

o1

Larger context
Max Context:300.0K

Average performance across 3 common benchmarks

Meta

Llama 3.1 8B Instruct

Average Score:57.5%
OpenAI

o1

+28.5%
Average Score:86.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 8B Instruct

code
65.8%
math
68.4%
general
54.0%
OpenAI

o1

code
+22.3%
88.1%
math
+3.6%
72.0%
general
+17.8%
71.8%
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

Meta

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
OpenAI

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Meta

Llama 3.1 8B Instruct

Avg Score:57.5%
Providers:9
OpenAI

o1

+28.5%
Avg Score:86.0%
Providers:2