Model Comparison

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

Meta

Llama 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. 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.

OpenAI

o1-preview

OpenAI

o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K 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.

OpenAI

o1-preview

OpenAI

2024-09-12

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.3 70B Instruct

$74.60 cheaper
Input:$0.20
Output:$0.20
OpenAI

o1-preview

Input:$15.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B
OpenAI

o1-preview

Max Context:160.8K

Average performance across 4 common benchmarks

Meta

Llama 3.3 70B Instruct

Average Score:76.1%
OpenAI

o1-preview

+9.0%
Average Score:85.1%

Performance comparison across key benchmark categories

Meta

Llama 3.3 70B Instruct

math
84.0%
general
+12.7%
70.7%
OpenAI

o1-preview

math
+4.1%
88.1%
general
58.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
OpenAI

o1-preview

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Meta

Llama 3.3 70B Instruct

Avg Score:76.1%
Providers:9
OpenAI

o1-preview

+9.0%
Avg Score:85.1%
Providers:2