Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini leads with 16.5% higher average benchmark score. GPT-5 nano offers 15.7K more tokens in context window than Jamba 1.5 Mini. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, Jamba 1.5 Mini is the stronger choice for coding tasks.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K 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. 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.
11 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 12 common benchmarks
GPT-5 nano
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
Jamba 1.5 Mini
GPT-5 nano
Jamba 1.5 Mini
GPT-5 nano
Jamba 1.5 Mini
Bedrock