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Jamba 1.5 Mini vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Jamba 1.5 Mini offers 376.1K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B 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 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 Mini
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 Mini
Input:$0.20
Output:$0.40
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Pixtral-12B
Input:$0.15
Output:$0.15($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Jamba 1.5 Mini
Average Score:69.7%(+0.5%)
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Pixtral-12B
Average Score:69.2%
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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-12B
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Jamba 1.5 Mini
Avg Score:69.7%(+0.5%)
Providers:2
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Pixtral-12B
Avg Score:69.2%
Providers:1