256K
text
text
Supported
About this model
Ling 3.1 Flash is InclusionAI's large-scale hybrid reasoning Mixture-of-Experts model designed for coding, agentic workflows, professional knowledge work, long-context analysis, finance, healthcare, and complex multi-step tasks. It contains approximately 560 billion total parameters while activating about 25 billion parameters per token, enabling high model capacity with more efficient inference. The model supports hybrid reasoning, tool calling, long documents, large codebases, extended task histories, and multi-step agent execution. It is optimized for software engineering, terminal-based agents, workflow automation, financial analysis, research, healthcare reasoning, and other tool-intensive professional applications.
Input modalities
text
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.300 / 1M tokens
Output tokens
$0.900 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.300 / 1M tokens |
| Output tokens | $0.900 / 1M tokens |
| Cached input tokens | $0.060 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "inclusionAI/Ling-3.1-flash", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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