Compare DeepSeek V4 Flash from DeepSeek and Ling 2.6 Flash (free) 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
Ling 2.6 Flash (free)(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-2.6-flash is an efficient instruction-tuned model developed by inclusionAI, with 104B total parameters and 7.4B active parameters. It is built for practical agent scenarios where low latency, reliable execution, and token efficiency matter. In tasks like coding, document understanding, and lightweight agent workflows, it offers competitive performance for its size while using noticeably fewer tokens, making it well-suited for cost-sensitive and high-throughput applications.
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; Ling 2.6 Flash (free): $2/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash accepts 1,000,000 and Ling 2.6 Flash (free) accepts 262,100 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 32,000 tokens on Ling 2.6 Flash (free).
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; Ling 2.6 Flash (free) accepts text input and supports long context.
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