Comprehensive side-by-side LLM comparison
GPT-5 leads with 48.9% higher average benchmark score. GPT-5 offers 15.7K more tokens in context window than Jamba 1.5 Mini. Jamba 1.5 Mini is $10.65 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
OpenAI
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). 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
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 41 common benchmarks
GPT-5
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
GPT-5
2024-09-30
Available providers and their performance metrics
GPT-5
OpenAI
ZeroEval
Jamba 1.5 Mini
GPT-5
Jamba 1.5 Mini
GPT-5
Jamba 1.5 Mini
Bedrock