Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 13.1% higher average benchmark score. GPT-4.1 nano offers 568.1K more tokens in context window than Jamba 1.5 Mini. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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.
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.
7 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 31 common benchmarks
GPT-4.1 nano
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Jamba 1.5 Mini
GPT-4.1 nano
Jamba 1.5 Mini
GPT-4.1 nano
Jamba 1.5 Mini
Bedrock