256K
text, image, video
text
Supported
About this model
Ling 3.0 Flash VL is InclusionAI's native multimodal reasoning and agentic model built on Ling 3.0 Flash. It extends the language, reasoning, and long-context capabilities of the base model with native image and video understanding, bringing visual information into the complete process of understanding, reasoning, acting, and verification. The model contains 124B total parameters while activating only 5.5B parameters per token and supports up to a 256K-token context window. It is designed for complex visual understanding, document and chart analysis, multimodal reasoning, visual verification, web and software interface understanding, computer-use-style workflows, coding, and tool-driven agentic tasks. Thinking is enabled by default and can be disabled per request.
Input modalities
text
Accepted as model input
image
Accepted as model input
video
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.075 / 1M tokens
Output tokens
$0.220 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.075 / 1M tokens |
| Output tokens | $0.220 / 1M tokens |
| Cached input tokens | $0.015 / 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-3.0-flash-VL", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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