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Ling 2.6 Flash (free)
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Ling 2.6 Flash (free)

ling-2.6-flash-free
Ideogram
Ling-2.6-flash is an efficient instruction-tuned model developed by inclusionAI, with 104B total parameters and 7.4B active parameters. It is built for practical agent scenarios where low latency, reliable execution, and token efficiency matter. In tasks like coding, document understanding, and lightweight agent workflows, it offers competitive performance for its size while using noticeably fewer tokens, making it well-suited for cost-sensitive and high-throughput applications.

Pricing

  • Input Tokens: $0 /M tokens
  • Output Tokens: $0 /M tokens
  • Cache Read: $0 /M tokens

Input Modalities

  • Text

Output Modalities

  • Text

Context length

  • 262K tokens

Max output

  • 32K tokens

Capabilities

  • Long context

Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://shkq.org/v1",
)

response = client.chat.completions.create(
    model="ling-2.6-flash-free",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

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

Frequently asked questions

What is Ling 2.6 Flash (free)?

Ling-2.6-flash is an efficient instruction-tuned model developed by inclusionAI, with 104B total parameters and 7.4B active parameters. It is built for practical agent scenarios where low latency, reliable execution, and token efficiency matter. In tasks like coding, document understanding, and lightweight agent workflows, it offers competitive performance for its size while using noticeably fewer tokens, making it well-suited for cost-sensitive and high-throughput applications.

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