UltraGPT
inclusionAI: Ling 3.0 Flash
*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...
Intelligence overview
262.1K tok
Context window
32.8K tok
Max output
What inclusionAI: Ling 3.0 Flash can do.
Reasoning
Extended reasoning
Works through problems step by step before answering, trading latency for accuracy on harder tasks.
Development
Tool calling
Calls external functions mid-response, then continues reasoning from the result.
Structured output
Returns responses constrained to a JSON schema, ready to parse without cleanup.
Streaming
Streams tokens as they're generated instead of waiting on the full response.
Performance
Pay for what you use.
Every model in UltraGPT runs behind one flat subscription — this is the underlying per-token cost the catalog tracks.
$0.021 / 1M tok
$0.063 / 1M tok
Built for serious work.
Build
Generate and refactor code, with the ability to run and verify tool calls and return structured, parseable output.
Think
Works through multi-step problems with extended reasoning before it answers.
Research
Holds up to 262.1K tokens of source material in context without losing the thread.
Automate
Chains tool calls across multi-step workflows, reasoning between each one.
Ask inclusionAI: Ling 3.0 Flash anything.
A preview of the real UltraGPT composer — the model you see here is the model you get.
Continues in the UltraGPT app — one login, every model.
How inclusionAI: Ling 3.0 Flash stacks up.
The closest models in the catalog by provider, capability and score — real entries, pulled from the same directory.
Technical details.
Specification
- Context window
- 262.1K tokens
- Max output
- 32.8K tokens
- Input modalities
- Text
- Output modalities
- Text
- Release date
- Jul 23, 2026
- Streaming
- Supported
- Tool calling
- Supported
- JSON mode
- Supported
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