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GPT-3.5 Turbo vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 8.8% higher average benchmark score. Jamba 1.5 Large offers 491.5K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $8.00 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
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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-3.5 Turbo
OpenAI
2023-03-21
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-3.5 Turbo
Input:$0.50
Output:$1.50($8.00 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-3.5 Turbo
Average Score:50.3%
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Jamba 1.5 Large
Average Score:59.1%(+8.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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Jamba 1.5 Large
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GPT-3.5 Turbo
Avg Score:50.3%
Providers:2
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Jamba 1.5 Large
Avg Score:59.1%(+8.8%)
Providers:2