🚀 Website under development • Launching soon

Model Comparison

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

OpenAI

GPT-5 Codex

OpenAI

GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.

Meta

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.2 3B Instruct

Meta

2024-09-25

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

11 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 Codex

Max Context:-
Meta

Llama 3.2 3B Instruct

Larger context
Max Context:256.0K
Parameters:3.2B

Performance comparison across key benchmark categories

OpenAI

GPT-5 Codex

general
+32.0%
74.5%
Meta

Llama 3.2 3B Instruct

general
42.5%
Knowledge Cutoff
Training data recency comparison

GPT-5 Codex

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-5 Codex

0 providers
Meta

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s
Latency: 0.24ms
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0
Meta

Llama 3.2 3B Instruct

Avg Score:0.0%
Providers:1