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Jamba 1.5 Mini vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 31.0% higher average benchmark score. Jamba 1.5 Mini offers 212.3K more tokens in context window than o3-mini. Jamba 1.5 Mini is $4.90 cheaper per million tokens. Overall, o3-mini is the stronger choice for coding tasks.
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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.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
5 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($4.90 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Jamba 1.5 Mini
Average Score:51.0%
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o3-mini
Average Score:82.0%(+31.0%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
Jamba 1.5 Mini
2024-03-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
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o3-mini
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Jamba 1.5 Mini
Avg Score:51.0%
Providers:2
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o3-mini
Avg Score:82.0%(+31.0%)
Providers:2