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GPT-4o vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-4o leads with 19.6% higher average benchmark score. Jamba 1.5 Large offers 367.6K more tokens in context window than GPT-4o. Jamba 1.5 Large is $2.50 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, GPT-4o is the stronger choice for coding tasks.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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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.
16 days newer
GPT-4o
OpenAI
2024-08-06
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
Input:$2.50
Output:$10.00
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($2.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4o
Average Score:76.8%(+19.6%)
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Jamba 1.5 Large
Average Score:57.2%
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Knowledge Cutoff
Training data recency comparison
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
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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Jamba 1.5 Large
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GPT-4o
Avg Score:76.8%(+19.6%)
Providers:2
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Jamba 1.5 Large
Avg Score:57.2%
Providers:2