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Jamba 1.5 Mini vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 51.0% higher average benchmark score. Jamba 1.5 Mini offers 212.3K more tokens in context window than o3. Jamba 1.5 Mini is $9.40 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 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 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
7 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
o3
OpenAI
2025-04-16
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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($9.40 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Jamba 1.5 Mini
Average Score:32.3%
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o3
Average Score:83.3%(+51.0%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
2024-03-05
o3
2024-05-31
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
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Jamba 1.5 Mini
Avg Score:32.3%
Providers:2
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o3
Avg Score:83.3%(+51.0%)
Providers:1