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Gemini 2.5 Pro vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 46.1% higher average benchmark score. Gemini 2.5 Pro offers 602.1K more tokens in context window than Jamba 1.5 Large. Jamba 1.5 Large is $1.25 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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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.
9 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemini 2.5 Pro
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($1.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Pro
Average Score:83.0%(+46.1%)
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Jamba 1.5 Large
Average Score:36.9%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Gemini 2.5 Pro
2025-01-31
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 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Jamba 1.5 Large
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Gemini 2.5 Pro
Avg Score:83.0%(+46.1%)
Providers:2
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Jamba 1.5 Large
Avg Score:36.9%
Providers:2