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GPT-4.1 vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 19.2% higher average benchmark score. GPT-4.1 offers 568.3K more tokens in context window than Jamba 1.5 Large. Both models have similar pricing. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
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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.
7 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
GPT-4.1
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1
Input:$2.00
Output:$8.00
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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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GPT-4.1
Average Score:78.3%(+19.2%)
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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
GPT-4.1
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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GPT-4.1
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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Jamba 1.5 Large
2 providers
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GPT-4.1
Avg Score:78.3%(+19.2%)
Providers:1
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2