Best BaiLing Large Model AI Tools & Models - Premium BaiLing Large Model News

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AntGroup Open Sources Ling-3.0-flash-VL: The 124B-Parameter Native Multimodal Large Model Makes Its Debut

The AntGroup Open Source team released the first native multimodal large model of the BaiLing series, Ling-3.0-flash-VL. It is based on the MoE architecture of Ling-3.0-flash, with a total parameter count of 124B and an activated parameter count of 5.5B. It natively supports image, text, and video input, with a context window of 256K tokens. The team focused on improving reliability and efficiency in real tasks, and made efforts to address the issue where visual capabilities might weaken text intelligence.

15.5k 3 hours ago

Bid Farewell to the Illusion of Local Models: Bailing Team Joins Forces with AReno to Establish a Local Intelligent Agent Reinforcement Learning Loop

Deploying large models locally does not equate to being capable of handling real-world business tasks. AI still needs to accurately understand complex rules, adhere to safety boundaries, and correctly call external tools. To address this challenge, the Ant ASystem team has collaborated with AReno, a local training toolkit maintained by the open-source community, and the Bailing large model to introduce a lightweight post-training practice path, aiming to enhance the model's ability to be applied in business scenarios.

15.2k yesterday

Bid Farewell to the Illusion of Local Models: Bailing Team Joins Forces with AReno to Establish a Local Intelligent Agent Reinforcement Learning Loop

Saying Goodbye to AI That Only Chats: Bai Ling Large Model Opens Source Ring-2.6-1T Focuses on Real Complex Task Loops

Bailing Large Model open-sources its trillion-parameter flagship model, Ring-2.6-1T, addressing execution deficiencies in real production environments. It shifts to end-to-end Agent workflows, software engineering, and scientific analysis tasks. Three breakthroughs: enhanced Agent execution, achieving state-of-the-art open-source performance on PinchBench and ClawEval benchmarks.....

15.4k yesterday

Ant Bailing Ling-2.6-1T Officially Open-Sourced: Trillion-Parameter Scale Competes with GPT-5.4

Ant Group's Bailing large model today open-sourced its trillion-parameter flagship model Ling-2.6-1T, employing a hybrid architecture of MLA and LinearAttention for a 'fast thinking' mechanism, enhancing intelligence efficiency. It demonstrates high token efficiency in evaluations, addressing real-world production flow efficiency challenges.....

17.8k 9 hours ago

Models

Gemini 2.0 Flash-Lite

Google

$0.49

Input tokens/M

$2.1

Output tokens/M

Context Length

Grok 4 Fast

Xai

$1.4

Input tokens/M

$3.5

Output tokens/M

Context Length

GPT-5 Codex

Openai

Input tokens/M

Output tokens/M

Context Length

Claude 3 Opus

Anthropic

$105

Input tokens/M

$525

Output tokens/M

200

Context Length

Gemini 2.0 Flash

Google

$0.7

Input tokens/M

$2.8

Output tokens/M

Context Length

Gemini 2.5 Flash

Google

$2.1

Input tokens/M

$17.5

Output tokens/M

Context Length

Claude 3 Sonnet

Anthropic

$21

Input tokens/M

$105

Output tokens/M

200

Context Length

Gemini 2.5 Flash-Lite

Google

$0.7

Input tokens/M

$2.8

Output tokens/M

Context Length

qwen3-coder-plus

Alibaba

Input tokens/M

$16

Output tokens/M

Context Length

Qianfan-Lightning

Baidu

Input tokens/M

Output tokens/M

128

Context Length

qwen3-max

Alibaba

Input tokens/M

$24

Output tokens/M

256

Context Length

Doubao-Seed-Translation

Bytedance

$1.2

Input tokens/M

$3.6

Output tokens/M

Context Length

Qwen3-Next-80B-A3B-Instruct

Alibaba

Input tokens/M

Output tokens/M

256

Context Length

Kimi-K2

Moonshot

Input tokens/M

$16

Output tokens/M

256

Context Length

Doubao-Seed-1.6

Bytedance

$0.8

Input tokens/M

Output tokens/M

256

Context Length

Doubao-1.5-pro-32k

Bytedance

$0.8

Input tokens/M

Output tokens/M

128

Context Length

Doubao-Seed-1.6-flash

Bytedance

$0.15

Input tokens/M

$1.5

Output tokens/M

256

Context Length

Doubao-Seedance-1.0-pro

Bytedance

Input tokens/M

Output tokens/M

Context Length

Qianfan-VL-8B

Baidu

Input tokens/M

Output tokens/M

Context Length

Qianfan-VL-70B

Baidu

Input tokens/M

Output tokens/M

Context Length

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