Compare models
Put models side by side on price, context, capabilities, and benchmarks.
Ling 3.1 Flash is InclusionAI's (Ant Group) hybrid-reasoning Mixture-of-Experts model (560B total, 25B active parameters, 262K-token context), a much larger successor to the 124B Ling 3.0 Flash. This OpenRouter listing is free of token cost, making it a good fit for trying out strong reasoning, coding, and agentic workloads without spend.
DeepSeek V4.1 Flash is DeepSeek's open-weight sparse MoE model and the first built on the company's Causal Encoder-Decoder architecture, activating 8B parameters on input and 16B on output with a 1M-token context window. It targets coding, terminal and computer-use agents, and long-horizon multi-step tasks as a low-cost, high-throughput sibling to DeepSeek's Pro line.
Benchmarks
Head-to-head scores across reasoning, coding, and agentic indices, plus per-domain rankings.