Model Comparison

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

GPT OSS 20B

OpenAI

GPT OSS 20B is a multimodal language model developed by OpenAI. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

GPT OSS 20B

OpenAI

2025-08-05

4 months newer

Performance Metrics

Context window and performance specifications

GPT OSS 20B

Larger context

Max Context:262.1K

Parameters:20.0B

Llama 3.1 Nemotron Ultra 253B v1

Max Context:-

Parameters:253.0B

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

GPT OSS 20B

2 providers

ZeroEval

Throughput: 1000 tok/s

Latency: 0.38ms

OpenAI

Throughput: 115 tok/s

Latency: 5.2ms

Llama 3.1 Nemotron Ultra 253B v1

0 providers

GPT OSS 20B

Avg Score:0.0%

Providers:2

Llama 3.1 Nemotron Ultra 253B v1

Avg Score:0.0%

Providers:0