Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Jamba 1.5 Large
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.
Jamba 1.5 Large
AI21 Labs
2024-08-22

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
1 year newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.2-Exp
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp
Jamba 1.5 Large
Average performance across 20 common benchmarks

DeepSeek-V3.2-Exp
Jamba 1.5 Large
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval
Jamba 1.5 Large
Bedrock

DeepSeek-V3.2-Exp
Jamba 1.5 Large