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Open-source LLM (via OpenRouter)

Ling-3.0-flash

modelling-3-0-flash
BudgetStableFree★ Low cost in tierStreamingToolsBatchLong contextGlobal

Context

262K

Input / 1M tokens

$0.0210

Output / 1M tokens

$0.0630

Cached input / 1M tokens

$0.0042

Cache write / 1M tokens

— (bills at input price)

About this model

Ling-3.0-flash

Ling-3.0-flash is available through the Anoman AI OpenAI-compatible API with a 262K-token context window. It costs $0.0210 per 1M input tokens and $0.0630 per 1M output tokens, and is available from the Free plan.

Key facts

Context window
262K tokens
Max output
33K tokens
Lane
Guarded: the provider has confirmed it does not train on your data
Modality
Text
Input price
$0.0210 per 1M tokens
Output price
$0.0630 per 1M tokens
Processing region(s)
global
Route
Via OpenRouter
Cheapest plan
Available from the Free plan

Code example

Chat completion with Ling-3.0-flash

from openai import OpenAI

client = OpenAI(
    base_url="https://api.anoman.io/v1",
    api_key="anm-sk-..."
)

response = client.chat.completions.create(
    model="ling-3-0-flash",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

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