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Jamba 1.5 Mini vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Base leads with 12.9% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Jamba 1.5 Mini is available on 2 providers. Overall, Mistral Small 3 24B Base is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
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Mistral AI
Mistral Small 3 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 67.0% across 9 benchmarks. It excels particularly in ARC-C (91.3%), GSM8k (80.7%), MMLU (80.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
5 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Jamba 1.5 Mini
Average Score:37.4%
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Mistral Small 3 24B Base
Average Score:50.3%(+12.9%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
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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Mistral Small 3 24B Base
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Jamba 1.5 Mini
Avg Score:37.4%
Providers:2
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Mistral Small 3 24B Base
Avg Score:50.3%(+12.9%)
Providers:0