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GPT-5 mini vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 50.0% higher average benchmark score. GPT-5 mini offers 15.7K more tokens in context window than Jamba 1.5 Mini. Jamba 1.5 Mini is $1.65 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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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 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($1.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 mini
Average Score:82.3%(+50.0%)
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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 mini
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 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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Jamba 1.5 Mini
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GPT-5 mini
Avg Score:82.3%(+50.0%)
Providers:2
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Jamba 1.5 Mini
Avg Score:32.3%
Providers:2