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GPT-5 nano vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 38.9% higher average benchmark score. GPT-5 nano offers 15.7K more tokens in context window than Jamba 1.5 Mini. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano is the stronger choice for coding tasks.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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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.
11 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 nano
Input:$0.05
Output:$0.40($0.15 cheaper)
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 nano
Average Score:71.2%(+38.9%)
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Jamba 1.5 Mini
Average Score:32.3%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
2024-03-05
GPT-5 nano
2024-05-30
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-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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Jamba 1.5 Mini
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GPT-5 nano
Avg Score:71.2%(+38.9%)
Providers:2
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Jamba 1.5 Mini
Avg Score:32.3%
Providers:2