Ling 3.0 Tiny
inclusionai/
Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total.
$0.0165 in · $0.0495 out per 1M tokens262k contextAug 6, 2026
A typical message: about 500 tokens you send and 500 it writes.
Spec sheet
Published facts from the catalog, billed prices and what we measured here. Anything not measured says so.
Price, billed here
- Input, per 1M tokens
- $0.0165provider $0.015
- Output, per 1M tokens
- $0.0495provider $0.045
- Cached input, per 1M
- $0.0033provider $0.003
- Margin
- +10%
Context and formats
- Context window
- 262,144 tokens
- Longest answer
- 250,000 tokens
- Reads
- text
- Makes
- text
- First listed
- 2026-08-06
Measured here, last 7 days
- First token, median
- not measured
- Answered without error
- not measured
Tools and JSON
- Tool calling
- declaredthe provider's claim, not yet measured here
- JSON output
- declaredthe provider's claim, not yet measured here
Price and latency history as JSON: GET /.
About
Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...
In inclusionAI's words.
Try it here
Measured here
Call it
Use one OpenAI compatible endpoint, this model's id and an am_live_ key from the dashboard. You can also try it in chat first with no key.
curl https://useantimatter.com/v1/chat/completions \
-H "Authorization: Bearer $ANTIMATTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "inclusionai/ling-3.0-tiny", "messages": [{"role": "user", "content": "Hello"}]}'Everything else is in the docs.
Embed this
A badge showing this model's live price per million tokens, as billed here, for a README or a site. It links back to this page.
<a href="https://useantimatter.com/planet/inclusionai/ling-3.0-tiny"><img src="https://useantimatter.com/api/badge/price?id=inclusionai%2Fling-3.0-tiny" alt="Ling 3.0 Tiny price on Antimatter" height="28"></a>More from inclusionAI
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