DeepSeek vs Cohere

DeepSeek's portfolio strategy emphasizes open source diversity with 11 models spanning $0.290-$2.50/M tokens, achieving modest performance across the board with their top model (DeepSeek V3.2 Exp) hitting 46/100. Cohere takes a concentrated approach with 4 models, accepting lower average scores (36/100) while offering the market's lowest entry price at $0.150/M tokens for basic tasks.

DeepSeek has invested heavily in reasoning capabilities across 91% of their portfolio, likely targeting code generation and analytical workloads where their 164K context window suffices. Cohere's complete absence of reasoning support across all 4 models suggests they're optimizing for different use cases like retrieval and generation tasks that benefit from their larger 256K context window.

Cohere's aggressive $0.150/M entry price (48% cheaper than DeepSeek's minimum) targets high-volume, cost-sensitive applications despite trailing performance by 8 points at the top end. DeepSeek's narrower price range ($0.290-$2.50/M) across 11 models suggests they're betting on performance consistency over price competition, with most models clustered in the mid-tier pricing band.

Cohere's Command R+ offers 256K context (56% more than DeepSeek's 164K maximum) at competitive rates, making it superior for long-document processing despite the 8-point performance gap. Additionally, with only 1 open source model versus DeepSeek's full open source portfolio of 11, Cohere users get enterprise support and SLAs that self-hosted DeepSeek deployments lack.