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.

OpenAI

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Meta

Llama 3.1 405B Instruct

Meta

2024-07-23

OpenAI

o3-mini

OpenAI

2025-01-30

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 405B Instruct

$3.72 cheaper
Input:$0.89
Output:$0.89
OpenAI

o3-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 405B Instruct

Max Context:256.0K
Parameters:405.0B
OpenAI

o3-mini

Larger context
Max Context:300.0K

Average performance across 4 common benchmarks

Meta

Llama 3.1 405B Instruct

Average Score:75.1%
OpenAI

o3-mini

+13.9%
Average Score:89.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

code
81.4%
math
+21.0%
87.4%
general
+18.0%
73.2%
OpenAI

o3-mini

code
+12.5%
93.9%
math
66.4%
general
55.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

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
OpenAI

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Meta

Llama 3.1 405B Instruct

Avg Score:75.1%
Providers:8
OpenAI

o3-mini

+13.9%
Avg Score:89.0%
Providers:2