RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-3.5-Flash

Default branch main · commit 21d85a5f · scanned 7/1/2026, 6:02:55 AM

GitHub: 2,087 stars · 85 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface stepfun-ai/Step-3.5-Flash, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, large-language-model, foundation-model, agentic-ai, ai-agent, open-source-llm, reasoning, efficient-ai, moes, mixture-of-experts
  • highhomepage#2
    Add the project's official homepage URL

    Why:

    COPY-PASTE FIX
    https://static.stepfun.com/blog/step-3.5-flash/
  • mediumreadme#3
    Strengthen the README's opening sentence for category clarity

    Why:

    CURRENT
    **Step 3.5 Flash** (visit website) is our most capable open-source foundation model, engineered to deliver frontier reasoning and agentic capabilities with exceptional efficiency.
    COPY-PASTE FIX
    **Step 3.5 Flash** is our most capable open-source large language model (LLM) and foundation model, engineered to deliver frontier reasoning and agentic capabilities with exceptional efficiency, rivaling top proprietary models.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface stepfun-ai/Step-3.5-Flash
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Anthropic Claude 3 Opus
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Anthropic Claude 3 Opus · recommended 1×
  2. Google Gemini 1.5 Pro · recommended 1×
  3. OpenAI GPT-4 · recommended 1×
  4. Meta Llama 3 (70B Instruct) · recommended 1×
  5. Mistral Large · recommended 1×
  • CATEGORY QUERY
    Looking for a fast and reliable AI agent for complex reasoning tasks.
    you: not recommended
    AI recommended (in order):
    1. Anthropic Claude 3 Opus
    2. Google Gemini 1.5 Pro
    3. OpenAI GPT-4
    4. Meta Llama 3 (70B Instruct)
    5. Mistral Large

    AI recommended 5 alternatives but never named stepfun-ai/Step-3.5-Flash. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source foundation models for advanced AI reasoning?
    you: not recommended
    AI recommended (in order):
    1. Llama 3 (8B and 70B Instruct)
    2. Mixtral 8x7B Instruct (from Mistral AI)
    3. Gemma (7B Instruct)
    4. Mistral 7B Instruct v0.2
    5. Falcon 180B Instruct
    6. CodeLlama (70B Instruct)

    AI recommended 6 alternatives but never named stepfun-ai/Step-3.5-Flash. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of stepfun-ai/Step-3.5-Flash?
    pass
    AI named stepfun-ai/Step-3.5-Flash explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts stepfun-ai/Step-3.5-Flash in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/Step-3.5-Flash explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo stepfun-ai/Step-3.5-Flash solve, and who is the primary audience?
    pass
    AI named stepfun-ai/Step-3.5-Flash explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of stepfun-ai/Step-3.5-Flash. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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stepfun-ai/Step-3.5-Flash — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
stepfun-ai/Step-3.5-Flash — RepoGEO report