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Jamba 1.5 Large vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 26.2% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Overall, Qwen2.5-Coder 7B Instruct 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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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
28 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Jamba 1.5 Large
Average Score:23.8%
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Qwen2.5-Coder 7B Instruct
Average Score:50.1%(+26.2%)
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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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Jamba 1.5 Large
Avg Score:23.8%
Providers:2
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Qwen2.5-Coder 7B Instruct
Avg Score:50.1%(+26.2%)
Providers:0