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Jamba 1.5 Large vs o3-pro
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large offers 212.0K more tokens in context window than o3-pro. Jamba 1.5 Large is $90.00 cheaper per million tokens. o3-pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
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OpenAI
o3-pro is a multimodal language model developed by OpenAI. It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
9 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o3-pro
OpenAI
2025-06-10
Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($90.00 cheaper)
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o3-pro
Input:$20.00
Output:$80.00
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Jamba 1.5 Large
Average Score:65.5%(+65.5%)
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o3-pro
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
o3-pro
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-pro
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Jamba 1.5 Large
Avg Score:65.5%(+65.5%)
Providers:2
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o3-pro
Avg Score:0.0%
Providers:1