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Jamba 1.5 Mini vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 42.9% higher average benchmark score. Jamba 1.5 Mini offers 364.8K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Both models have similar pricing. Overall, Qwen3-235B-A22B-Instruct-2507 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 Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
11 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
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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($0.35 cheaper)
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Jamba 1.5 Mini
Average Score:37.4%
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Qwen3-235B-A22B-Instruct-2507
Average Score:80.3%(+42.9%)
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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:37.4%
Providers:2
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Qwen3-235B-A22B-Instruct-2507
Avg Score:80.3%(+42.9%)
Providers:1