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Jamba 1.5 Large vs o1-mini
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 7.7% higher average benchmark score. Jamba 1.5 Large offers 318.5K more tokens in context window than o1-mini. Jamba 1.5 Large is $5.00 cheaper per million tokens. Overall, Jamba 1.5 Large 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-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.
21 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o1-mini
OpenAI
2024-09-12
Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($5.00 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Jamba 1.5 Large
Average Score:43.7%(+7.7%)
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o1-mini
Average Score:35.9%
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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-mini
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Jamba 1.5 Large
Avg Score:43.7%(+7.7%)
Providers:2
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o1-mini
Avg Score:35.9%
Providers:2