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.
Jamba 1.5 Mini
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

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

GPT OSS 120B
Jamba 1.5 Mini
Performance Metrics
Context window and performance specifications

GPT OSS 120B
Jamba 1.5 Mini
Average performance across 2 common benchmarks

GPT OSS 120B
Jamba 1.5 Mini
Performance comparison across key benchmark categories

GPT OSS 120B
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics

GPT OSS 120B
ZeroEval
Jamba 1.5 Mini
Bedrock

GPT OSS 120B
Jamba 1.5 Mini