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Devstral Medium vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 51.4% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Devstral Medium. Devstral Medium is $7.60 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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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.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Devstral Medium
Mistral AI
2025-07-10
Pricing Comparison
Cost per million tokens (USD)
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Devstral Medium
Input:$0.40
Output:$2.00($7.60 cheaper)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Devstral Medium
Average Score:6.8%
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Jamba 1.5 Large
Average Score:58.2%(+51.4%)
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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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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Jamba 1.5 Large
2 providers
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Devstral Medium
Avg Score:6.8%
Providers:1
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Jamba 1.5 Large
Avg Score:58.2%(+51.4%)
Providers:2