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

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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-4.1 nano
OpenAI
2025-04-14
7 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4.1 nano
Jamba 1.5 Mini
Performance Metrics
Context window and performance specifications

GPT-4.1 nano
Jamba 1.5 Mini
Average performance across 2 common benchmarks

GPT-4.1 nano
Jamba 1.5 Mini
Performance comparison across key benchmark categories

GPT-4.1 nano
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI
Jamba 1.5 Mini
Bedrock

GPT-4.1 nano
Jamba 1.5 Mini