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Jamba 1.5 Large vs Magistral Medium
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 16.0% higher average benchmark score. Magistral Medium supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). 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
Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). 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.
9 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Magistral Medium
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Jamba 1.5 Large
Average Score:40.3%(+16.0%)
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Magistral Medium
Average Score:24.3%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Magistral Medium
2025-06-01
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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Magistral Medium
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Jamba 1.5 Large
Avg Score:40.3%(+16.0%)
Providers:2
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Magistral Medium
Avg Score:24.3%
Providers:0