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Jamba 1.5 Mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 5.3% higher average benchmark score. Jamba 1.5 Mini is available on 2 providers. Overall, QwQ-32B is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Jamba 1.5 Mini
Average Score:32.0%
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QwQ-32B
Average Score:37.3%(+5.3%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
2024-03-05
QwQ-32B
2024-11-28
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 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
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Jamba 1.5 Mini
Avg Score:32.0%
Providers:2
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QwQ-32B
Avg Score:37.3%(+5.3%)
Providers:0