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Jamba 1.5 Mini vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 47.7% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Qwen3 32B. Both models have similar pricing. Overall, Qwen3 32B is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
8 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40
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Qwen3 32B
Input:$0.10
Output:$0.30($0.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Jamba 1.5 Mini
Average Score:46.1%
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Qwen3 32B
Average Score:93.8%(+47.7%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
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 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:46.1%
Providers:2
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Qwen3 32B
Avg Score:93.8%(+47.7%)
Providers:3