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GPT-4o mini vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 2.0% higher average benchmark score. Jamba 1.5 Large offers 367.6K more tokens in context window than GPT-4o mini. GPT-4o mini is $9.25 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
1 month newer
GPT-4o mini
OpenAI
2024-07-18
Jamba 1.5 Large
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($9.25 cheaper)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4o mini
Average Score:61.1%(+2.0%)
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Jamba 1.5 Large
Average Score:59.1%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
Jamba 1.5 Large
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 Large
2 providers
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GPT-4o mini
Avg Score:61.1%(+2.0%)
Providers:1
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2