Comprehensive side-by-side LLM comparison
o4-mini leads with 49.1% higher average benchmark score. Jamba 1.5 Mini offers 212.3K more tokens in context window than o4-mini. Jamba 1.5 Mini is $4.90 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
AI21 Labs
Jamba 1.5 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
7 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22

o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
Jamba 1.5 Mini

o4-mini
Context window and performance specifications
Average performance across 1 common benchmarks
Jamba 1.5 Mini

o4-mini
Jamba 1.5 Mini
2024-03-05
o4-mini
2024-05-31
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

o4-mini
Jamba 1.5 Mini

o4-mini
Jamba 1.5 Mini

o4-mini
OpenAI