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Jamba 1.5 Large vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 29.9% higher average benchmark score. Jamba 1.5 Large offers 212.0K more tokens in context window than o3-mini. o3-mini is $4.50 cheaper per million tokens. Overall, o3-mini is the stronger choice for coding tasks.
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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-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o3-mini
OpenAI
2025-01-30
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-mini
Input:$1.10
Output:$4.40($4.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Jamba 1.5 Large
Average Score:16.4%
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o3-mini
Average Score:46.3%(+29.9%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
Jamba 1.5 Large
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 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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o3-mini
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Jamba 1.5 Large
Avg Score:16.4%
Providers:2
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o3-mini
Avg Score:46.3%(+29.9%)
Providers:2