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Jamba 1.5 Mini vs Pixtral Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini offers 256.3K more tokens in context window than Pixtral Large. Jamba 1.5 Mini is $7.40 cheaper per million tokens. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
2 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Pixtral Large
Mistral AI
2024-11-18
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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($7.40 cheaper)
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Pixtral Large
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
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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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Pixtral Large
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Jamba 1.5 Mini
Avg Score:0.0%
Providers:2
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Pixtral Large
Avg Score:0.0%
Providers:1