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GPT-4o mini vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 10.1% higher average benchmark score. Jamba 1.5 Mini offers 367.9K more tokens in context window than GPT-4o mini. Both models have similar pricing. GPT-4o mini supports multimodal inputs. Overall, GPT-4o mini is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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.
1 month newer
GPT-4o mini
OpenAI
2024-07-18
Jamba 1.5 Mini
AI21 Labs
2024-08-22
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($0.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4o mini
Average Score:61.1%(+10.1%)
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Jamba 1.5 Mini
Average Score:51.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
Jamba 1.5 Mini
2024-03-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Jamba 1.5 Mini
2 providers
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GPT-4o mini
Avg Score:61.1%(+10.1%)
Providers:1
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Jamba 1.5 Mini
Avg Score:51.0%
Providers:2