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SenseNova 6.7 Flash-Lite - SenseTime's multimodal intelligent agent model

SenseNova 6.7 Flash-Lite is a new generation of lightweight multimodal intelligent agent model launched by SenseTime. It adopts a native multimodal architecture and is designed for real-world workflows.

What is SenseNova 6.7 Flash-Lite?

SenseNova 6.7 Flash-Lite is a new generation of lightweight multimodal intelligent agent model launched by SenseTime. It adopts a native multimodal architecture and is designed specifically for real-world workflows. The model can directly parse web page layouts, document structures, and financial charts, realizing the integration of seeing, thinking, and doing. In scenarios such as information search, token consumption is reduced by 60% compared to pure text intelligent agents, and it has achieved state-of-the-art (SOTA) performance in multiple authoritative benchmark tests.

Key features of SenseNova 6.7 Flash-Lite

  • Native multimodal understandingIt allows you to directly understand complex web page layouts, document structures, and financial charts without needing a visual-to-text intermediary layer.
  • Long-chain task executionIt enables end-to-end closed-loop delivery of complex tasks such as data analysis, in-depth research, and PPT generation.
  • Intelligent agent skill invocationIt natively supports the SenseNova-Skills system, covering office scenarios such as infographic generation, PPT creation, and Excel analysis.
  • Low Token Consumption InferenceAfter removing the visual translation layer, token consumption in scenarios such as information search is reduced by 60% compared to pure text agents.
  • Millisecond-level high-frequency responseAchieving a leapfrog improvement in the capabilities of intelligent agents with a small number of parameters, adapting to high-frequency interactive production environments.

The technical principles of SenseNova 6.7 Flash-Lite

  • Native multimodal architectureAbandoning the traditional language + visual splicing design, the visual modules are deeply involved in the core decision-making and reasoning cycle, rather than just serving as a supplement to the text.
  • End-to-end workflow closed loopBy automating the entire process from complex document parsing to structured output through a complete chain of data processing → analysis → visualization → conclusions → recommendations.
  • Noise-resistant environmental perceptionIn scenarios such as in-depth research, the model can autonomously retrieve and compare data from multiple sources, accurately extract key logic, and generate visual deliverables.

How to use SenseNova 6.7 Flash-Lite

  • Visit the official website: Go to the RiRiXin Big Model Platform https://www.sensenova.cn/, register an account and apply for a Token Plan.
  • Get credit limitClaim a free API quota of 1,500 calls every 5 hours and create API Keys (up to 20).
  • Install Agent PackDeploy Hermes Agent or OpenClaw framework and a full suite of Skills plugins with a single click via https://github.com/OpenSenseNova/agent_pack.
  • Autonomous integrationIf using other agent frameworks, you can obtain the necessary components from https://github.com/OpenSenseNova/SenseNova-Skills.
  • Start calling: Access the model via API or Agent framework to perform tasks such as data analysis, PPT generation, and in-depth research.

Key information and usage requirements for SenseNova 6.7 Flash-Lite

  • Product NameSenseTime Daily Updates SenseNova 6.7 Flash-Lite
  • Development TeamSenseTime
  • Model typeLightweight native multimodal intelligent agent model
  • Core CompetenciesDirect parsing of web pages/documents/charts, closed-loop long-chain tasks, and millisecond-level response.
  • Free PolicyThe Token Plan allows for 1500 calls per model every 5 hours in its first month.
  • Open source ecosystemSenseNova-Skills (GitHub), Agent Pack (one-click deployment package)
  • Support frameworkHermes Agent, OpenClaw

Core advantages of SenseNova 6.7 Flash-Lite

  • Costs reduced significantlyToken consumption is reduced by 60%, and deliverable output per unit cost is significantly improved.
  • Multimodal deep fusionVisual information can participate in reasoning and decision-making directly without being translated into text, thus avoiding information loss.
  • Production-grade performanceMillisecond-level feedback speed, supporting high-frequency, high-concurrency office needs.
  • Eco-friendly, ready to use right out of the box: Achieve rapid, zero-cost integration through the SenseNova Token Plan's free quota and open-source skills.

Project address for SenseNova 6.7 Flash-Lite

  • Project official websitehttps://www.sensenova.cn/models
  • GitHub repository: https://github.com/OpenSenseNova/SenseNova6.7

Comparison of SenseNova 6.7 Flash-Lite with similar competing products

Comparison Dimensions SenseNova 6.7 Flash-Lite GLM-5 GPT-5.4
Architecture Design Native multimodal, visual direct reference reasoning Traditional multimodal splicing Traditional multimodal splicing
Token Cost Information search scenarios decreased by 60%. Standard consumption Standard consumption
Intelligent Agent Capabilities (PinchBench) 92 points 85.3 points 90.5 points
PPT Generator (NovaPPTBench) 90.7 points 87 points 87.6 points
Mathematical reasoning (MathVision) 85.5 points 72.1 points 84.2 points
Office Skills Ecosystem SenseNova-Skills is fully open source Partially open source Closed source
Free quota 1500 times every 5 hours Limited free/paid Limited free/paid

Application scenarios of SenseNova 6.7 Flash-Lite

  • Enterprise Data AnalysisProcess massive amounts of sales records and financial statements to generate operational analysis and decision support reports.
  • In-depth industry researchWe independently compiled and completed multi-chapter reports on the current status of vertical industries, including data visualization and industry chain analysis.
  • Office AutomationOne-click generation of PPTs, infographics, and Excel analyses, covering high-frequency office scenarios.
  • Public Service GuideGenerate illustrated medical treatment procedures and service guides for the elderly, teenagers, and other groups.