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Jamba 1.5 Large vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 34.8% higher average benchmark score. Jamba 1.5 Large offers 212.0K more tokens in context window than o1. Jamba 1.5 Large is $65.00 cheaper per million tokens. Overall, o1 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
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o1
OpenAI
2024-12-17
Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($65.00 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Jamba 1.5 Large
Average Score:21.8%
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o1
Average Score:56.7%(+34.8%)
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Knowledge Cutoff
Training data recency comparison
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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o1
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Jamba 1.5 Large
Avg Score:21.8%
Providers:2
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o1
Avg Score:56.7%(+34.8%)
Providers:2