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GPT-4 Turbo vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 8.2% higher average benchmark score. Jamba 1.5 Large offers 379.9K more tokens in context window than GPT-4 Turbo. Jamba 1.5 Large is $30.00 cheaper per million tokens. Overall, GPT-4 Turbo is the stronger choice for coding tasks.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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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.
4 months newer
GPT-4 Turbo
OpenAI
2024-04-09
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 Turbo
Input:$10.00
Output:$30.00
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($30.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4 Turbo
Average Score:67.3%(+8.2%)
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Jamba 1.5 Large
Average Score:59.1%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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Jamba 1.5 Large
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GPT-4 Turbo
Avg Score:67.3%(+8.2%)
Providers:2
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2