Ling 2.6 Flash (free) vs Step 3.7 Flash

Ling 2.6 Flash (free)

InclusionAI · text → text

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.

Step 3.7 Flash

StepFun · text, image, video → text

step-3.7-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.