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Gemini 1.5 Pro vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 13.3% higher average benchmark score. Gemini 1.5 Pro offers 1.6M more tokens in context window than Jamba 1.5 Large. Jamba 1.5 Large is $2.50 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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.
3 months newer
Gemini 1.5 Pro
2024-05-01
Jamba 1.5 Large
AI21 Labs
2024-08-22
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
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 4 common benchmarks
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Gemini 1.5 Pro
Average Score:77.9%(+13.3%)
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Jamba 1.5 Large
Average Score:64.7%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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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Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Jamba 1.5 Large
2 providers
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Gemini 1.5 Pro
Avg Score:77.9%(+13.3%)
Providers:1
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Jamba 1.5 Large
Avg Score:64.7%
Providers:2