Compare DeepSeek V4 Flash from DeepSeek and inclusionAI/Ling-1T from InclusionAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek V4 Flash
inclusionAI/Ling-1T(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
Ling-1T is the first flagship non-thinking model in the “Ling 2.0” series, featuring 1 trillion total parameters and approximately 50 billion active parameters per token. Built on the Ling 2.0 architecture, Ling-1T is designed to push the limits of efficient inference and scalable cognition. Ling-1T-base was pretrained on over 20 trillion high-quality, reasoning-intensive tokens, supports up to a 128K context length, and incorporates an Evolutionary Chain of Thought (Evo-CoT) process during mid-stage and post-stage training. This training regimen greatly enhances the model’s efficiency and depth of reasoning, enabling Ling-1T to achieve top performance across multiple complex reasoning benchmarks, balancing accuracy and efficiency.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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DeepSeek V4 Flash: $0.284/M output tokens; inclusionAI/Ling-1T: $2.192/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; inclusionAI/Ling-1T accepts text input and supports tool calling, function calling and structured outputs.
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