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SenseNova 6.7 Flash-Lite - A multimodal agent model launched by SenseTime

Author: AI小集 · Original source: AI工具集

What is SenseNova 6.7 Flash-Lite

SenseNova 6.7 Flash-Lite is a new-generation lightweight multimodal agent model launched by SenseTime. It adopts a native multimodal architecture and is designed specifically for real-world workflows. The model can directly parse webpage layouts, document structures, and financial charts, achieving integrated seeing, thinking, and doing. In scenarios such as information search, Token consumption is reduced by 60% compared with pure-text agents, and it achieves SOTA at the same level in multiple authoritative benchmark tests.

SenseNova 6.7 Flash-Lite

Main features of SenseNova 6.7 Flash-Lite

  • Native multimodal understanding: Directly understand complex webpage layouts, document structures, and financial charts without needing a visual-to-text intermediate layer.
  • Long-chain task execution: Achieve end-to-end closed-loop delivery of complex tasks such as data analysis, in-depth research, and PPT generation.
  • Agent skill invocation: Native support for the SenseNova-Skills system, covering office scenarios such as infographic generation, PPT creation, and Excel analysis.
  • Low-Token-consumption reasoning: After removing the visual translation layer, Token consumption in scenarios such as information search is reduced by 60% compared with pure-text agents.
  • Millisecond-level high-frequency response: Uses a small parameter count to achieve leapfrog improvement in agent capabilities, suitable for high-frequency interactive production environments.

Technical principles of SenseNova 6.7 Flash-Lite

  • Native multimodal architecture: Abandons the traditional language + vision concatenation design; the vision module deeply participates in the core decision-making and reasoning loop, rather than serving only as a text supplement.
  • End-to-end workflow closed loop: Through the complete chain of data processing -> analysis -> visualization -> conclusions -> recommendations, it achieves full-process automation from complex document parsing to structured output.
  • Noise-resistant environmental perception: In scenarios such as in-depth research, the model can autonomously retrieve and compare multi-source data, accurately extract key logic, and generate visual deliverables.

How to use SenseNova 6.7 Flash-Lite

  • Visit the official website: Enter the SenseNova large model platform https://www.sensenova.cn/ register an account and apply for a Token Plan.
  • Obtain quota: Claim a free API quota of 1,500 calls every 5 hours, and create an API Key (up to 20).
  • Install Agent Pack: Via https://github.com/OpenSenseNova/agent_pack one-click deploy the Hermes Agent or OpenClaw framework and the full set of Skills plugins.
  • Self-integration: If using another Agent framework, you can obtain the required components from https://github.com/OpenSenseNova/SenseNova-Skills .
  • Start calling: Access the model through the API or Agent framework to execute tasks such as data analysis, PPT generation, and in-depth research.

Key information and usage requirements of SenseNova 6.7 Flash-Lite

  • Product name: SenseTime SenseNova 6.7 Flash-Lite
  • Development team: SenseTime
  • Model type: Lightweight native multimodal agent model
  • Core capabilities: Direct parsing of webpages/documents/charts, closed-loop long-chain tasks, millisecond-level response
  • Free policy: Token Plan: 1,500 calls per model every 5 hours in the first month
  • Open-source ecosystem: SenseNova-Skills (GitHub), Agent Pack (one-click deployment package)
  • Supported Frameworks：Hermes Agent、OpenClaw

Core Advantages of SenseNova 6.7 Flash-Lite

  • Significantly Lower Cost: Token consumption reduced by 60%, with significantly higher deliverable output per unit cost.
  • Deep Multimodal Integration: Visual information does not go through text translation and directly participates in reasoning and decision-making, avoiding information loss.
  • Production-Grade Performance: Millisecond-level feedback speed, supporting high-frequency and high-concurrency office needs.
  • Out-of-the-Box Ecosystem: Through the SenseNova Token Plan free quota and open-source Skills, zero-cost rapid onboarding is achieved.

Project Address of SenseNova 6.7 Flash-Lite

  • Project Official Website：https://www.sensenova.cn/models
  • GitHub Repository：https://github.com/OpenSenseNova/SenseNova6.7

Comparison of SenseNova 6.7 Flash-Lite with Similar Competing Products

Comparison Dimension SenseNova 6.7 Flash-Lite GLM-5 GPT-5.4
Architecture Design Native multimodal, vision directly participates in reasoning Traditional multimodal concatenation Traditional multimodal concatenation
Token Cost Reduced by 60% in information search scenarios Standard consumption Standard consumption
Agent Capability (PinchBench) 92 points 85.3 points 90.5 points
PPT Generation (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 fully open source Partially open source Closed source
Free Quota 1,500 times every 5 hours Limited free/paid Limited free/paid

Application Scenarios of SenseNova 6.7 Flash-Lite

  • Enterprise Data Analysis: Process massive sales records and financial statements, and generate operational analysis and decision-support reports.
  • In-Depth Industry Research: Autonomously orchestrate and complete multi-chapter reports on the current state of vertical industries, including data visualization and industry chain analysis.
  • Office Automation: One-click generation of PPTs, infographics, and Excel analyses, covering high-frequency office scenarios.
  • Public Service Guidance: Generate illustrated medical visit procedures and administrative guides for groups such as the elderly and adolescents.