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inclusionai/ling-3.0-tiny

Ling-3.0-tiny is an efficient 7.9B parameter MoE model from inclusionAI with only 1.3B active parameters per token. Built for responsive agents, reliable instruction following and multi turn conversation, with a 256K context window, native function calling, prompt caching and switchable Thinking and Instant modes.

ReasoningTool callingCaching
CompareDocs

Specifications

Context window262K tokens
Max output33K tokens
API typechat
AddedAug 5, 2026
Model ID
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the Novita AI models overview.

Pricing

Prices updated August 7, 2026
Input / 1M
Free
Output / 1M
Free
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K outputFree
1M input + 100K outputFree
10M input + 1M outputFree

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/inclusionai/ling-3.0-tiny.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/inclusionai/ling-3.0-tiny",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

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Frequently asked questions

How much does inclusionai/ling-3.0-tiny cost?
inclusionai/ling-3.0-tiny is priced at Free per million input tokens and Free per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of inclusionai/ling-3.0-tiny?
inclusionai/ling-3.0-tiny has a context window of 262K tokens, with a maximum output of 33K tokens per response. That's roughly 350 words of input you can fit in a single prompt.
What can inclusionai/ling-3.0-tiny do?
inclusionai/ling-3.0-tiny supports tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use inclusionai/ling-3.0-tiny with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/inclusionai/ling-3.0-tiny". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run inclusionai/ling-3.0-tiny through Requesty?
Yes. inclusionai/ling-3.0-tiny runs through Requesty's OpenAI-compatible API, served from Novita AI. You do not host the model yourself: point base_url at Requesty, set the model to "novita/inclusionai/ling-3.0-tiny", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access inclusionai/ling-3.0-tiny through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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