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GPT-4 vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-4 leads with 2.0% higher average benchmark score. Jamba 1.5 Large offers 446.5K more tokens in context window than GPT-4. Jamba 1.5 Large is $80.00 cheaper per million tokens. GPT-4 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 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 year newer
GPT-4
OpenAI
2023-06-13
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-4
Input:$30.00
Output:$60.00
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($80.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4
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-4
2022-12-31
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-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 Large
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GPT-4
Avg Score:61.1%(+2.0%)
Providers:2
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2