Sulat.com
AI models
$10 off the fastest DeepSeek V4.1 Flash, Kimi K3 and GLM 5.3 from Synthetic
StepFun (Global) logo

Model details

Step 3.7 Flash

Step 3.7 Flash is a 196B-parameter model designed around the See.Think.Act. approach for real-world agents. It combines visual understanding of interfaces, documents, charts, and natural scenes with code generation and tool-driven action, making it well suited to workflows that move from inspection to execution rather than producing text alone.

Its practical focus is sustained agent work: it can operate terminals, browsers, office tools, and search, while maintaining coherent multi-step tool use. Enhanced web and visual search supports broader source discovery, deeper follow-up, and recognition of long-tail or newly emerging entities. The model is also offered as an NVIDIA NIM, giving organizations a supported deployment path alongside its public-weight distribution.

StepFun (Global)step-3.7-flash

Quick Info

Powered by
Provider
StepFun (Global)
Model key
step-3.7-flash
Release date
May 29, 2026
Last updated
Jun 29, 2026
Knowledge cutoff
2026-03-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.185
Output token cost
$1.11

Limits

Input tokens
256,000 tokens
Output tokens
256,000 tokens
Context window
256,000 tokens

Latest news about Step 3.7 Flash

Nvidia

Coverage

StepFun's Step 3.7 Flash release at the end of May 2026 under an Apache 2.0 license is drawing attention because it combines open weights, multimodal capability, and low active compute in a package developers can actually try locally. The Shanghai-based lab, backed by investors including Tencent, released the model to According to StepFun's Hugging Face model card as cited in coverage, Step 3.7 Flash supports a 256K context window, three reasoning levels, and throughput of up to 400 tokens per second. The sparse MoE vision-language system has a 196B-parameter language backbone and a 1.8B-parameter vision encoder, activating about 11

Nvidia

CoverageRelease Notes

StepFun released Step 3.7 Flash on May 29, 2026, a 198-billion-parameter sparse Mixture-of-Experts vision-language model targeting agentic use cases, adding native vision input and improved tool-use reliability over Step 3.5 Flash. It pairs a 196B-parameter language backbone with a 1.8B-parameter vision encoder (ViT) f Key published specifications include a 256K-token context window, up to 400 tokens/sec throughput, and three configurable reasoning levels (low, medium, high). StepFun positions Step 3.7 Flash as infrastructure for agentic coding and search workflows rather than as a raw scale leader. The MoE architecture keeps inferen

Hugging Face

Coverage

Lambda's deployment documentation explicitly names Step 3.7 Flash, attributes it to StepFun AI, and confirms the Apache 2.0 release with a 198B-parameter vision-language architecture, 11B active parameters per token, 256K context, and low/medium/high reasoning modes. The language backbone carries over from Step 3.5 Fla Lambda's own vLLM-MTP benchmarks show aggregate throughput of 7,982 tok/s on 4× B200, 6,224 tok/s on 8× H100, and 2,370 tok/s on 8× A100 under an 8192-in/2048-out, 32-concurrent workload. Architecture specifics include 288 routed plus 1 shared expert with top-8 sigmoid routing, 45 layers, 4096 hidden size, and S3F1 hyb

Hugging Face

Coverage

Step 3.7 Flash is described as a high-efficiency large AI model aimed at production-level Agents, open-sourced by StepFun on May 29, 2026 under the Apache 2.0 license, with Step 3.5 Flash identified as its predecessor in the Flash series. It uses a sparse MoE architecture totaling 196B+1.8B (ViT) parameters and activat The model delivers native multimodal understanding and execution plus internet and visual search enhancement, along with tool invocation and orchestration, and reportedly scored 67.1% on ClawEval-1.1 and 49.5% on Toolathlon for multi-tool collaboration. Following release, domestic hardware vendors including Tianshu Zhi

Videos about Step 3.7 Flash