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Jamba 1.5 Large vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 46.4% higher average benchmark score. Jamba 1.5 Large offers 212.0K more tokens in context window than o3. Both models have similar pricing. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
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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 Large
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 Large
Input:$2.00
Output:$8.00
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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 Large
Average Score:36.9%
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o3
Average Score:83.3%(+46.4%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
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 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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o3
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Jamba 1.5 Large
Avg Score:36.9%
Providers:2
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o3
Avg Score:83.3%(+46.4%)
Providers:1