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Jamba 1.5 Large vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 12.0% higher average benchmark score. Jamba 1.5 Large offers 375.8K more tokens in context window than Pixtral-12B. Pixtral-12B is $9.70 cheaper per million tokens. Pixtral-12B supports multimodal inputs. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
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Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
26 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Pixtral-12B
Mistral AI
2024-09-17
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
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Pixtral-12B
Input:$0.15
Output:$0.15($9.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Jamba 1.5 Large
Average Score:81.2%(+12.0%)
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Pixtral-12B
Average Score:69.2%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
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 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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Pixtral-12B
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Jamba 1.5 Large
Avg Score:81.2%(+12.0%)
Providers:2
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Pixtral-12B
Avg Score:69.2%
Providers:1