Ling 3.0 Flash
inclusionai/
Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token.
$0.0231 in · $0.0693 out per 1M tokens262k contextJul 23, 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
- $0.0231provider $0.021
- Output, per 1M tokens
- $0.0693provider $0.063
- Cached input, per 1M
- $0.00462provider $0.0042
- Margin
- +10%
Context and formats
- Context window
- 262,144 tokens
- Longest answer
- 32,768 tokens
- Reads
- text
- Makes
- text
- First listed
- 2026-07-23
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-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...
In inclusionAI's words.
Try it here
Measured here
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-H "Content-Type: application/json" \
-d '{"model": "inclusionai/ling-3.0-flash", "messages": [{"role": "user", "content": "Hello"}]}'Everything else is in the docs.
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