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GPT-4 vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
GPT-4 leads with 10.1% higher average benchmark score. Jamba 1.5 Mini offers 446.8K more tokens in context window than GPT-4. Jamba 1.5 Mini is $89.40 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, GPT-4 is the stronger choice for coding tasks.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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 year newer
GPT-4
OpenAI
2023-06-13
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-4
Input:$30.00
Output:$60.00
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($89.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4
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-4
2022-12-31
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-4
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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Jamba 1.5 Mini
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GPT-4
Avg Score:61.1%(+10.1%)
Providers:2
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Jamba 1.5 Mini
Avg Score:51.0%
Providers:2