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Jamba 1.5 Mini vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 9.9% higher average benchmark score. Jamba 1.5 Mini offers 373.0K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. Overall, Qwen2.5 7B Instruct 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
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
28 days newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($0.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Mini
Average Score:49.2%
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Qwen2.5 7B Instruct
Average Score:59.1%(+9.9%)
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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:49.2%
Providers:2
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Qwen2.5 7B Instruct
Avg Score:59.1%(+9.9%)
Providers:1