Artificial Analysis@ArtificialAnlys · XStepFun 开源 Step 3.7 Flash（Apache 2.0），总参数 198B、激活 11B（MoE），上下文 256K。在 Artificial Analysis 智能指数上得分 42.6，较 Step 3.5 Flash 提升 4 分，输出速度超 400 tokens/s，通过 Multi-Token Prediction（3 个 token）加速。新增 1.8B 视觉编码器支持原生多模态，MMMU-Pro 得分 75.3%。代理能力提升：GDPval-AA Elo 从 1070 升至 1298，TerminalBench Hard 达 35.6%，AA-LCR 63.7%。知识/幻觉仍弱：AA-Omniscience 准确率 25.4%，幻觉率 84.4%。提供 BF16、FP8、NVFP4 精度权重以降低部署成本。
StepFun's Step 3.7 Flash sits on the Intelligence vs Output Speed Pareto frontier， scoring 43 on the Artificial Analysis Intelligence Index and is served at over 400 output tokens/s
Step 3.7 Flash （open weights， Apache 2.0） is a significant upgrade on Step 3.5 Flash and stands out for its speed and gains in agentic performance （particularly GDPval-AA）. 400 output tokens/s is more than double other models of a similar size class. Contributing to this speed is that the model has only 11B active parameters and the model ships with trained Multi-Token Prediction heads （3） that predict several tokens in a single forward pass， letting it decode multiple tokens at once using speculative decoding.