Is StepFun Step 3.7 Flash Down?

Quickest ways to check the current status of stepfun.ai plus recent known issues and working alternatives if it's out.

Last editorial review: 2026-06-10

How to check right now

Step 1 -- Load the site
Open stepfun.ai→

The simplest check. If it loads and you can log in, the tool is up for you.

Step 2 -- Crowdsourced reports
DownDetector: StepFun Step 3.7 Flash→

User-reported outages aggregated across regions. Good signal for partial or regional outages.

Step 3 -- Live social
Search X for “StepFun Step 3.7 Flashdown” →

Live tweets from other users. Fastest signal for a fresh outage -- often beats status pages by 10-20 minutes.

Step 4 -- Official status page
Find StepFun Step 3.7 Flash's status page →

Most vendors publish a status page at status.[domain] or on Statuspage.io. Google-search to find the current URL.

Known issues we've tracked

VERSION BUMP (2026-05-28): **Step 3.7 Flash** released -- 198B-parameter sparse MoE vision-language model (HF auto-counter shows 201B; vendor model card says 198B), ~11B active per token, 1.8B vision encoder + 196B language backbone, **256K context**, Apache 2.0 open weights (main + FP8 + NVFP4 + GGUF variants on HuggingFace), up to ~400 tok/s, three selectable reasoning levels, agent-focused. Model-card benchmarks: SWE-Bench Pro 56.3, Terminal-Bench 2.1 59.5, Toolathlon 49.5, ClawEval-1.1 67.1, SimpleVQA-Search 79.2. API pricing: $0.20/M input (cache miss), $0.04/M (cache hit), $1.15/M output
2026-05-28•HuggingFace (huggingface.co/stepfun-ai/Step-3.7-Flash model card)
Step 3.5 Flash was released 2026-02-01 with initial quantization issues for Q3 and below -- community Q5 quants are the practical deployment target as of April 2026. Full FP16 weights require significant multi-GPU setup (196B total params even with 11B active)
2026-02•Hugging Face discussions, Reddit r/LocalLLaMA
Refuses discussion of Tiananmen, Taiwan sovereignty, Xi Jinping, and other politically sensitive topics per PRC regulations -- same content filters as other Chinese open-weight models
2026-02•Hugging Face discussions, user reports

Issues here are sourced from our editorial sweeps, not real-time telemetry. Newer issues may exist.

What to use if StepFun Step 3.7 Flash is down

Top AIToolTier-ranked alternatives in the same category, ordered by our overall score.

A

Qwen (Alibaba)

8.8

Alibaba's open-weights + API family -- Qwen3.8-Max flagship previewed at WAIC (Jul 19 2026: 2.4T sparse-MoE multimodal, closed preview, 'second only to Fable 5'), Qwen 3.7 Max GA (SWE-Bench Pro 60.6%, Terminal-Bench 69.7%, $2.50/$7.50 per 1M), Qwen3.6-27B dense Apache 2.0 (beats the 397B MoE on coding from one consumer GPU)

A

MiniMax M3

8.4

MiniMax's coding/agent flagship -- M3 (June 1 2026): 1M-token context, MSA sparse attention (>15x decoding speedup at long context), SWE-Bench Pro 59.0%, Terminal-Bench 66.0%. OPEN WEIGHTS LIVE on HuggingFace since June 12 (~428B total / ~23B active, native multimodal, minimax-community license)

A

Gemma 4 (Google)

8.3

Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices

A

IBM Granite 4.0

8.2

IBM's enterprise-focused open-weight family -- Granite 4.0 hybrid Mamba-2 + transformer architecture (70-80% memory reduction vs pure transformer), 3B to 32B sizes, Apache 2.0. First open model family to secure ISO 42001 certification. Nano 350M runs on CPU with 8-16GB RAM. 3B Vision variant landed 2026-04-01

A

Kimi K3 (Moonshot)

8.1

Moonshot's 2.8T-parameter Kimi K3 (launched 2026-07-16/17) is the largest open-weight model ever announced -- 1M context, multimodal, $3/$15 per 1M via API, ranked best-available on Arena.AI at launch. Weights promised late July (press cites 7/27); K2.6/K2.7-Code remain the shipped-weights line

About StepFun Step 3.7 Flash

Tier B (7.8/10). StepFun's (China) agent-focused open-weight family -- Step 3.7 Flash (May 28 2026): 198B sparse MoE vision-language model, ~11B active, 256K context, Apache 2.0, ~400 tok/s, SWE-Bench Pro 56.3. Supersedes Step 3.5 Flash (Feb 2026) as the flagship

Read the full StepFun Step 3.7 Flashreview →