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Gemma 3 27B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 9.5% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than Gemma 3 27B. Gemma 3 27B is $9.70 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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Gemma 3 27B represents the largest variant in the Gemma 3 family, developed to provide flagship-level open-source capabilities. Built with advanced training methodologies and 27 billion parameters, it offers researchers and developers access to powerful language understanding without proprietary restrictions.
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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.
6 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemma 3 27B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 27B
Input:$0.10
Output:$0.20($9.70 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 3 common benchmarks
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Gemma 3 27B
Average Score:68.6%(+9.5%)
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Jamba 1.5 Large
Average Score:59.1%
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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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Gemma 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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Jamba 1.5 Large
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Gemma 3 27B
Avg Score:68.6%(+9.5%)
Providers:2
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2