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inclusionai/ling-3.0-tinyNovita AI

in /1Mfreeinput tokens
out /1Mfreeoutput tokens
context262K33K out
trainingnoon your prompts
api
chat
hosting
US
model lab
InclusionAI
weights
closed
added
August 2026
model id
novita/inclusionai/ling-3.0-tiny

capabilities 3/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

pricing

no markup
input
free
output
free
cache write
-
cache read
-

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K outfree
1M in + 100K outfree
10M in + 1M outfree

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
GPQA Diamond73.4
Coding Index26.5
SciCode24.2
Intelligence Index11.9
Humanity's Last Exam9.3
5 evalsmean29.1

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-08-06.

policy

data terms
retention
none
trains on prompts
no
hosted in
US

Terms are the provider's, not Requesty's: routing a request here puts it under them. Novita AI Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
novita/inclusionai/ling-3.0-tiny

this id pins the novita ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead

main.py
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)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

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.

questions 6

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 is roughly 350 words of input you can fit in a single prompt.
How does inclusionai/ling-3.0-tiny perform on benchmarks?
inclusionai/ling-3.0-tiny scores 73.4% on GPQA Diamond, 26.5% on Coding Index, 24.2% on SciCode. The benchmarks pane shows every published result, each normalised to 100.
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 pane 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.

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call inclusionai/ling-3.0-tiny through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

inclusionai/ling-3.0-tinynovita aiin free /1Mout free /1Mctx 262Khosted US