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Jamba 1.5 Mini vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 25.4% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Qwen3 235B A22B. Both models have similar pricing. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
8 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Qwen3 235B A22B
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 235B A22B
Input:$0.10
Output:$0.10($0.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Jamba 1.5 Mini
Average Score:53.3%
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Qwen3 235B A22B
Average Score:78.7%(+25.4%)
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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:53.3%
Providers:2
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Qwen3 235B A22B
Avg Score:78.7%(+25.4%)
Providers:4