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Codestral-22B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 4.2% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, 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.
2 months newer
Codestral-22B
Mistral AI
2024-05-29
Jamba 1.5 Large
AI21 Labs
2024-08-22
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Codestral-22B
Average Score:30.7%
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Jamba 1.5 Large
Average Score:34.9%(+4.2%)
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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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Codestral-22B
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
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Codestral-22B
Avg Score:30.7%
Providers:0
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Jamba 1.5 Large
Avg Score:34.9%(+4.2%)
Providers:2