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inclusionAI: Ling 3.0 Flash VL

ling-3.0-flash-vl

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Ling 3.0 Flash VL is inclusionAI's native multimodal Mixture-of-Experts model with 124B total parameters and 5.5B active parameters per token. It combines image and video understanding with reasoning and tool use for document analysis, charts, visual verification, and interface-based agent tasks. Thinking is enabled by default and can be turned off in settings.

Modalities

Text + Image + Video → Text

Input / output price

$0.078 / $0.234 per 1M

Context

262K · max output 33K

Capabilities

ReasoningVisionTool callingLong contextOpen weights

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.078
Output$0.234
Cached input$0.0156

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00042
Per day
$0.2106
Per month (30 days)
$6.32

Ling 3.0 Flash VL: input $0.078/M · output $0.234/M · cached input $0.0156/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "ling-3.0-flash-vl", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to ling-3.0-flash-vl.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ling-3.0-flash-vl",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is Ling 3.0 Flash VL billed?
Input is $0.078 and output is $0.234 per million tokens; cached input is $0.0156. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
262K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.