hf trending·openai-o4-mini-deep-research
OpenAI: o4 Mini Deep Research
OpenAI: o4 Mini Deep Research: o4-mini-deep-research is OpenAI's faster, more affordable deep research model???ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
AgentScore
35.9+14.04
+14.04 vs 24h ago
Adoption22.1
Quality—
Momentum60.0
Community—
Quality unrated · weight redistributed
CapabilitiesResearch
DeploymentIde PluginSaas
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- HN mentions (7d)0→ 0.0Wikipedia views (30d)25.9k→ 44.1
Pillar = mean of 2 scaled values = 22.1.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Reddit mentions (7d), Bluesky mentions (7d), OpenRouter tokens (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), GitHub stars, GitHub mentions (7d)
Model facts
Sourced from OpenRouter. Refreshes daily.
- Provider
- openai
- Context
- 200k
- Max output
- 100k
- Modality
- text+image+file->text
- Input price
- $2.00/M
- Output price
- $8.00/M
- Tokenizer
- GPT
- Moderated
- Yes
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HTML
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Similar
Vibe-search via embedding cosine
Score envelope last computed 4m ago. Quality is Unrated — agent has no benchmark results yet.