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

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 8B 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 8B Instruct

$5.44 cheaper
Input:$0.03
Output:$0.03
OpenAI

o3-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 8B Instruct

Max Context:262.1K
Parameters:8.0B
OpenAI

o3-mini

Larger context
Max Context:300.0K

Average performance across 3 common benchmarks

Meta

Llama 3.1 8B Instruct

Average Score:60.1%
OpenAI

o3-mini

+25.9%
Average Score:86.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 8B Instruct

code
65.8%
math
+2.1%
68.4%
general
54.0%
OpenAI

o3-mini

code
+28.1%
93.9%
math
66.4%
general
+1.2%
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

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

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Meta

Llama 3.1 8B Instruct

Avg Score:60.1%
Providers:9
OpenAI

o3-mini

+25.9%
Avg Score:86.0%
Providers:2