Comprehensive side-by-side LLM comparison
o4-mini leads with 19.4% higher average benchmark score. Jamba 1.5 Large offers 212.0K more tokens in context window than o4-mini. o4-mini is $4.50 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). 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.
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
7 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
Jamba 1.5 Large
o4-mini
Context window and performance specifications
Average performance across 21 common benchmarks
Jamba 1.5 Large
o4-mini
Jamba 1.5 Large
2024-03-05
o4-mini
2024-05-31
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
o4-mini
Jamba 1.5 Large
o4-mini
Jamba 1.5 Large
o4-mini
OpenAI