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Gemini 2.0 Flash-Lite vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 16.3% higher average benchmark score. Gemini 2.0 Flash-Lite offers 544.8K more tokens in context window than Jamba 1.5 Large. Gemini 2.0 Flash-Lite is $9.63 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.0 Flash Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
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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.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemini 2.0 Flash-Lite
2025-02-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash-Lite
Input:$0.07
Output:$0.30($9.63 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-Lite
Average Score:61.5%(+16.3%)
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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-Lite
2024-06-01
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-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Jamba 1.5 Large
2 providers
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Gemini 2.0 Flash-Lite
Avg Score:61.5%(+16.3%)
Providers:1
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Jamba 1.5 Large
Avg Score:45.2%
Providers:2