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GPT-4.1 vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 27.3% higher average benchmark score. GPT-4.1 offers 568.1K more tokens in context window than Jamba 1.5 Mini. Jamba 1.5 Mini is $9.40 cheaper per million tokens. 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 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
7 months newer
Jamba 1.5 Mini
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 Mini
Input:$0.20
Output:$0.40($9.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1
Average Score:78.3%(+27.3%)
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Jamba 1.5 Mini
Average Score:51.0%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
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 Mini
2 providers
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GPT-4.1
Avg Score:78.3%(+27.3%)
Providers:1
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Jamba 1.5 Mini
Avg Score:51.0%
Providers:2