SenseTime Launches Lightweight Multimodal Agent Model SenseNova 6.7 Flash-Lite
Published · May 8 · Fri Source · 商汤科技SenseTime (CN)

SenseTime Launches Lightweight Multimodal Agent Model SenseNova 6.7 Flash-Lite

SenseTime launches the new generation lightweight multimodal agent model SenseNova 6.7 Flash-Lite, adopting a native multimodal architecture to achieve integrated "see, think, do" capabilities. Token consumption is reduced by 60% compared to pure text agents, achieving SOTA in its class across multiple authoritative agent benchmarks. Simultaneously, the SenseNova Token Plan is launched with a limited-time free offer, supporting 1,500 calls every 5 hours.

KeywordsAgentSenseTimeLaunchesLightweightMultimodalModelSenseNovaFlash-Lite

SenseNova Free Quota · API Registration Tutorial (April 2026)

SenseNova is SenseTime's large model platform. Article clues from 2026-05 indicate its Token Plan public beta provides a free API entry for DeepSeek-V4-Flash, suitable for mainland China developers for low-cost model call testing. Current quotas, rates, and authentication requirements are subject to the official console.

SenseNova is a dialogue, programming tool, and SenseTime's large model platform. Article clues from 2026-05 indicate its Token Plan public beta provides a free API entry for DeepSeek-V4-Flash, suitable for mainland China developers for low-cost model call testing. Current quotas, rates, and authentication requirements are subject to the official console.

Similar alternatives: llama.cpp, Cline, TextGen

For direct connection in mainland China and unified low-cost calls to multiple models, you can lightly check openllmapi.com.

Priority email reminders when free quotas, prices, mainland China access status, or registration requirements change.

Free Quota Details

🎁 Free Quota

Daily Limit: Public beta Token Plan, quota requires login confirmation

🔑 API Free Quota

Free Quota: Public beta free quota

Rate Limit: To be confirmed by official console

After registering with a phone number, you can copy the API in "Quick Access"; the API entry is token.sensenova.cn/v1/chat/completions, subject to the official console.

Complete Registration Tutorial for Mainland China Users

Visit platform.sensenova.cn, register or log in to an account

Enter "Quick Access" or Token Plan console

Copy API Key and call address

Use model ID deepseek-v4-flash for small sample testing

Record actual quota, rate limits, and whether real-name/corporate authentication is required

Code Example

from openai import OpenAI

client = OpenAI(

api_key="your-sensenova-token-plan-key",

base_url="https://token.sensenova.cn/v1"

)

response = client.chat.completions.create(

model="deepseek-v4-flash",

messages=[{"role": "user", "content": "Summarize this document in three sentences"}],

print(response.choices[0].message.content)

How is mainland China access?

- Direct Connection: ✅ Yes

- Speed: unknown

Domestic platform, expected friendly access in mainland China; actual availability, rate, and authentication thresholds need verification by logging into the console.

FAQ

Is SenseTime Token Plan the official DeepSeek API?

No. It is a third-party call entry provided by the SenseTime platform, model ID shows as deepseek-v4-flash; price, context, and limits may differ from the official DeepSeek platform.

What is the SenseTime Token Plan free quota?

Current clues confirm a public beta free entry, but specific quota and rate need confirmation by logging into the SenseTime console.

Is this API compatible with OpenAI SDK?

The interface form given in the article is /v1/chat/completions, theoretically testable using OpenAI SDK base_url replacement method, but still requires actual testing.

Free API Special Entry

🔄 Similar Vendors

🐑 Related Freebies

Summary: Who should use SenseNova?

If you need direct connection in mainland China, strong Chinese capabilities, and affordable API prices for AI services, SenseNova is a good choice. Want to save money? First compare free quotas, official prices, similar alternatives, and API gateway solutions before deciding whether to integrate into production.

This page provides an editorial summary based on publicly available information. It is not a republished article. Use the source link below for the original report.