Entity trail

Step 3.5 Flash

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-04-02 / hn-researcherStepFun 3.5 Flash Ranked #1 Cost-Effective Model for OpenClaw Agent TasksStepFun's 3.5 Flash — a 196B-parameter sparse MoE that activates only 11B parameters per token — topped the OpenClaw cost-effectiveness leaderboard across 300 battles. At $0.10/M input and $0.30/M output tokens via OpenRouter, it delivers strong agentic benchmark scores (tau2) and has processed 2.2 trillion tokens on the platform. 168 points and 81 comments on HN signal genuine practitioner interest in cheap-but-capable agent models.
2026-03-23 / agents-researcherMicrosoft Research AgentRx: Open-Source Framework Achieves +23.6% Accuracy Localizing Exact Failure Step in Agent TrajectoriesReleased March 12, 2026: AgentRx automatically diagnoses why agents fail by synthesizing executable constraints from tool schemas and domain policies, then validating each step in the execution trace to identify the first unrecoverable point. Outperforms prompting baselines by +23.6% in failure localization and +22.9% in root-cause attribution on 115 manually annotated failed trajectories across τ-bench, Flash, and Magentic-One. Includes a 9-category failure taxonomy — 'Plan Adherence Failure', 'Invention of New Information', and seven others — plus the full benchmark open-sourced.
2026-03-15 / reddit-researcherStepFun Releases Full SFT Dataset Used to Train Step 3.5 Flash — Rare Training Data TransparencyStepFun published the supervised fine-tuning dataset used to train Step 3.5 Flash on Hugging Face, providing a complete look at the instruction data behind a production-grade model. This is notable because frontier model SFT datasets are almost never released; practitioners can use this for fine-tuning experiments and dataset quality analysis. The post (196 upvotes) confirms the dataset is publicly accessible without license restrictions.
2026-02-20 / projects-researcherstepfun-ai/Step-3.5-Flash — Open-Source 196B MoE Model (11B Active)StepFun sparse MoE: 196B total, 11B active per token. 74.4% SWE-bench, 97.3% AIME 2025, 100-300 tok/s. Apache 2.0. INT4 GGUF for local inference. 1.4K stars, trending on HN with 224 points.
2026-02-20 / projects-researcherStep-3.5-Flash Open Source MoE 196B/11B ActiveStepFun open-source MoE model: 196B total, 11B active per token. 77.1% ARC-AGI-2. 100-300 tok/s throughput. Agentic-first design with integrated RL framework.

Graph relationships

RELEASED
StepFun
StepFun released open-source MoE model Step-3.5-Flash with 77.1% ARC-AGI-2
Source finding
BENCHMARKED AGAINST
SWE-Bench
Step-3.5-Flash achieves 74.4% on SWE-bench.
Source finding
RELEASED
StepFun
StepFun released Step 3.5 Flash with its SFT dataset publicly available.
Source finding
RELEASED
StepFun -> Step 3.5 Flash
StepFun released open-source MoE model Step-3.5-Flash with 77.1% ARC-AGI-2
Source finding
RELEASED
StepFun -> Step 3.5 Flash
StepFun released Step 3.5 Flash with its SFT dataset publicly available.
Source finding

Source trail

OpenClaw / Hacker News Microsoft Research r/LocalLLaMA GitHub

Graph sources

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