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Gemini 2.0 Flash vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 24.0% higher average benchmark score. Gemini 2.0 Flash offers 544.8K more tokens in context window than Jamba 1.5 Large. Gemini 2.0 Flash is $9.50 cheaper per million tokens. Gemini 2.0 Flash supports multimodal inputs. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
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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
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemini 2.0 Flash
2024-12-01
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40($9.50 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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Gemini 2.0 Flash
Average Score:69.3%(+24.0%)
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Jamba 1.5 Large
Average Score:45.2%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Gemini 2.0 Flash
2024-08-01
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 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Jamba 1.5 Large
2 providers
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Gemini 2.0 Flash
Avg Score:69.3%(+24.0%)
Providers:1
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Jamba 1.5 Large
Avg Score:45.2%
Providers:2