Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 25.3% higher average benchmark score. GPT-4.1 mini offers 568.1K more tokens in context window than Jamba 1.5 Mini. Jamba 1.5 Mini is $1.40 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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.
7 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22

GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)

GPT-4.1 mini
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 2 common benchmarks

GPT-4.1 mini
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics

GPT-4.1 mini
OpenAI
ZeroEval
Jamba 1.5 Mini

GPT-4.1 mini
Jamba 1.5 Mini

GPT-4.1 mini
Jamba 1.5 Mini
Bedrock