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

GPT OSS 120B
OpenAI
GPT OSS 120B is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 2 benchmarks. Notable strengths include GPQA (71.5%), MMLU (54.8%). It supports a 161K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.

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.

Llama 3.2 3B Instruct
Meta
2024-09-25

GPT OSS 120B
OpenAI
2025-08-05
10 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT OSS 120B

Llama 3.2 3B Instruct
Performance Metrics
Context window and performance specifications

GPT OSS 120B

Llama 3.2 3B Instruct
Average performance across 2 common benchmarks

GPT OSS 120B

Llama 3.2 3B Instruct
Performance comparison across key benchmark categories

GPT OSS 120B

Llama 3.2 3B Instruct
Provider Availability & Performance
Available providers and their performance metrics

GPT OSS 120B
ZeroEval

Llama 3.2 3B Instruct
DeepInfra

GPT OSS 120B

Llama 3.2 3B Instruct