Ling-3.0-flash API

inclusionAI's Ling-3.0-flash: fast, low-cost chat model with 262K-token context, reasoning and tool calling.

Modalities
TextText
In / Out price
$0.0794/$0.2328per 1M
Context window
256K tokens
Released
Jul 23, 2026

Ling-3.0-flash overview

The pelican test: one prompt, every text model, unedited SVG output from Nov 3, 2026.

SVG of a pelican riding a bicycle, written by Ling-3.0-flash through AI/ML API

Ling-3.0-flash by inclusionAI

Ling-3.0-flash is a chat model from inclusionAI with reasoning, streaming responses and function calling for tool use.

Ling-3.0-flash specs

Model ID
inclusionai/ling-3.0-flash
Developer
inclusionAI
Context window
262,144 tokens
Max output
32,768 tokens
Input
Text
Output
Text
API
OpenAI-compatible, base URL https://api.aimlapi.com/v1

What is Ling-3.0-flash?

Ling-3.0-flash is inclusionAI's fast, cost-efficient chat model with a 262,144-token context window. It supports reasoning, streaming responses and tool/function calling.

Use cases

Ling-3.0-flash is documented as suited for real-world productivity workflows with end-to-end closed-loop execution across coding, general, and deep research agent tasks. It is also documented for high-frequency agentic workflows such as coding agents, tool use, document processing, and long multi-turn conversations.

It is further suited to investment workflows, including source-grounded financial search, multi-document reasoning across regulatory filings and earnings reports, valuation modeling, and spreadsheet operations. It is also documented for health-focused assistants, including medical knowledge reasoning, clinical safety, evidence-based retrieval, and multi-step clinical question answering.

For visual tasks, it is documented as handling object counting, chart and document reading, multi-step reasoning with visual evidence, and interface understanding for task automation.

Capabilities

  • Reasoning
  • Streaming
  • Function calling

Ling-3.0-flash benchmarks by Artificial Analysis

See how Ling-3.0-flash compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed

Output tokens / second

Benchmark results

Compare 12 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Ling-3.0-flash API pricing

Ling-3.0-flash pricing in US dollars
UsagePriceUnit
Input$0.07941M tokens
Output$0.23281M tokens
Cached input$0.01591M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Ling-3.0-flash vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
ModelInputOutput
Ling-3.0-flash$0.0794$0.2328
Ling 3.0 Flash VL$0.0635$0.1904
Small 3.2 24B$0.0794$0.2116
Schematron V2 Small$0.0529$0.2433
Nova Lite 1.0$0.0635$0.2539

How to use the Ling-3.0-flash API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "inclusionai/ling-3.0-flash",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

Related articles

All posts

Ling-3.0-flash FAQ

What is the context window of Ling-3.0-flash?

Ling-3.0-flash has a 262,144 tokens context window and can return up to 32,768 tokens.

What inputs and outputs does Ling-3.0-flash support?

Ling-3.0-flash takes text as input and returns text.

What is the model ID for Ling-3.0-flash?

Use inclusionai/ling-3.0-flash as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was Ling-3.0-flash released?

Ling-3.0-flash became available on July 23, 2026.

How much does Ling-3.0-flash cost?

Ling-3.0-flash costs $0.0794 input and $0.2328 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does Ling-3.0-flash support streaming?

Yes, Ling-3.0-flash can stream responses as they are generated.

Who created Ling-3.0-flash?

Ling-3.0-flash was built by inclusionAI.

What capabilities does Ling-3.0-flash offer for building applications?

It supports reasoning, streaming, and function calling, making it suitable for chat-based tasks that need tool use.

Start building with Ling-3.0-flash

Ling-3.0-flash API

inclusionai/ling-3.0-flash

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "inclusionai/ling-3.0-flash",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'