Stepfun 3.7 Flash is very good

Reddit r/LocalLLaMA Models
stepfun glm vision-model efficiency model-comparison

Summary

Stepfun 3.7 Flash is a compact vision model that achieves aesthetics close to GLM 5.1 and 80% of its 3D world understanding, while using only 25% of the parameters, making it highly RAM-efficient.

If you can fit Stepfun 3.7 Flash into RAM, try it! It's feeling close to GLM 5.1 quality in terms of aesthetics, and around 80% in terms of 3D world understanding. However since it's only 25% of the params of GLM 5.1, and it has built in vision, it's feeling like nothing else comes close for the RAM just now.
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StepFun 3.7 Flash

Reddit r/LocalLLaMA

StepFun released Step 3.7 Flash, a high-efficiency multimodal model optimized for real-world agentic tasks, featuring improved coding benchmarks (SWE-Bench Pro, Terminal-Bench) and compatibility with multiple agent harnesses.

stepfun-ai/Step-3.7-Flash

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Step 3.7 Flash is a 198B-parameter sparse MoE vision-language model with 11B active parameters per token, supporting 256k context and three reasoning levels, designed for high-throughput agentic workflows.

stepfun-ai/Step-3.7-Flash-GGUF

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StepFun releases GGUF quantizations of their 198B-parameter sparse MoE vision-language model Step-3.7-Flash, enabling local deployment with up to 256K context and selectable reasoning levels.