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Jamba 1.5 Large vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Jamba 1.5 Large offers 256.0K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $9.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
6 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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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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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($9.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Large
Average Score:57.2%
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Mistral Small 3.1 24B Base
Average Score:58.2%(+1.0%)
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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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Mistral Small 3.1 24B Base
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Jamba 1.5 Large
Avg Score:57.2%
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:58.2%(+1.0%)
Providers:1