How much does the Ling 3.0 Flash VL API cost?

On FastMetal, Ling 3.0 Flash VL is billed per token in yen: ¥10.72 per 1M input tokens and ¥32.17 per 1M output tokens, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.

Can I call Ling 3.0 Flash VL with the OpenAI SDK?

Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "ling-3.0-flash-vl" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.

What is the context window of Ling 3.0 Flash VL?

131,072 tokens, shared between the prompt and the response.

What do I need to try Ling 3.0 Flash VL?

Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

Back to Models

inclusionai/ling-3-0-flash-vl

Ling 3.0 Flash VL

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

9/10/2026

131,072 tokens

Input: ¥10.722/M

Output: ¥32.166/M

Try in Chat Get API Key

Specifications

Modalities

Input

text

image

video

Output

text

Supported Parameters

frequency_penalty

include_reasoning

logit_bias

max_tokens

min_p

presence_penalty

reasoning

repetition_penalty

response_format

seed

stop

structured_outputs

temperature

tool_choice

tools

top_k

top_p

Max Output Tokens

32,768

Reasoning Configuration

Default: Thinking on
Turning thinking off: Possible (reasoning.enabled: false)

How to control thinking, and what it costs

Code Examples

curl https://api.fastmetal.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "ling-3.0-flash-vl",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

How Ling 3.0 Flash VL actually answers

Real responses to our standard prompts, recorded on FastMetal.

Count the number of 'r's in 'strawberry'

Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

Let me count the number of 'r's in the word **'strawberry'** by examining each letter one by one: 1. **s** — not an 'r' 2. **t** — not an 'r' 3. **r** — ✅ 'r' found (count: 1) 4. **a** — not an 'r' 5. **w** — not an 'r' 6. **b** — not an 'r' 7. **e** — not an 'r' 8. **r** — ✅ 'r' found (count: 2) 9. **r** — ✅ 'r' found (count: 3) 10. **y** — not an 'r' **There are 3 'r's in the word 'strawberry'.** They appear at positions 3, 8, and 9 (i.e., "st**r**awbe**rr**y").

4.0s response331 output tokens

Debug This Error

I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…

This error occurs because the `users` prop is `undefined` when your component tries to call `.map()` on it. In JavaScript, `.map()` is an array method, meaning `users` must be an array, but currently, it has no value. This typically happens for one of two reasons: 1. **Data Fetching:** The parent component is passing `users` as a prop, but the data hasn't been fetched from an API yet, so it is `undefined` on the first render. 2. **Missing Prop:** The parent component is not passing the `users` prop at all. Here are the best ways to fix this: ### Fix 1: Provide a default value (Quickest fix) You can use destructuring defaults to ensure that if `users` is undefined, it falls back to an empt…

23.7s response1453 output tokens

Code Review

Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…

## Code Review & Improvement Suggestions ### Original Function (for reference) ```python def get_data(url, retries=3): import requests import time for i in range(retries): try: r = requests.get(url, timeout=10) if r.status_code == 200: data = r.json() result = [] for item in data: if item["active"] == True: result.append({"name": item["name"], "id": item["id"]}) return result else: time.sleep(2) except: time.sleep(2) return [] ``` --- ### Issues Identified | # | Category | Issue | Sever…

36.1s response2013 output tokens

Compare these answers side by side with other models →

Frequently asked questions

How much does the Ling 3.0 Flash VL API cost?: On FastMetal, Ling 3.0 Flash VL is billed per token in yen: ¥10.72 per 1M input tokens and ¥32.17 per 1M output tokens, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
Can I call Ling 3.0 Flash VL with the OpenAI SDK?: Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "ling-3.0-flash-vl" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
What is the context window of Ling 3.0 Flash VL?: 131,072 tokens, shared between the prompt and the response.
What do I need to try Ling 3.0 Flash VL?: Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

Try Ling 3.0 Flash VL right now

Ling 3.0 Flash VL is available on FastMetal through one API key. Start in the browser, or call it from the OpenAI SDK.

Create a free account