Models / inclusionAI
Ling Flash 2.0 API pricing
$0.56 in, $2.28 out per million tokens.
Price · per million tokens, USD
Get a key| Tokens | inclusionAI list price | UplinkSwitch | Saving |
|---|---|---|---|
| Input | — | $0.56 | — |
| Cached input | Billed at the input rate. | ||
| Output | — | $2.28 | — |
Ling Flash 2.0: what it is · from inclusionAI’s own model card, read 2026-10-20
inclusionAI’s Ling-flash-2.0, a mixture of experts trained on more than 20T tokens with multi-stage reinforcement learning. inclusionAI reports it matches dense models under 40B while activating about 6B. It is served as ling-flash-2.0 at $0.56 input and $2.28 output per million tokens, on the same key as every other model in the catalog.
| Ling Flash 2.0 | |
|---|---|
| Developer | inclusionAI |
| Parameters | 100B total, 6.1B active per token |
| Context | 128K tokens with YaRN |
| License | MIT |
| Published | 2025-09-17 |
| Downloads, 30 days to 2026-10-20 | 2,538 |
| Source | inclusionAI/Ling-flash-2.0 |
From inclusionAI/Ling-flash-2.0, read 2026-10-20.
curl https://api.uplinkswitch.com/v1/chat/completions \
-H "authorization: Bearer sk-uplink-live-..." \
-H "content-type: application/json" \
-d '{"model":"ling-flash-2.0","max_tokens":1024,"messages":[{"role":"user","content":"Hello"}]}'Ling Flash 2.0 next to inclusionAI’s other models · per million tokens, live
| Model | Here, in / out | 1,000 chat turns |
|---|---|---|
| Ling Flash 2.0 | $0.56 / $2.28 | $2.26 |
A chat turn is 2,000 input and 500 output tokens. Live from the catalog, ordered by the cost of 1,000 turns.
Worked for Ling Flash 2.0: 1,000 turns are 2,000,000 input tokens and 500,000 output tokens. At $0.56 input and $2.28 output per million tokens, that is $1.12 + $1.14 = $2.26, paid from prepaid credit with no subscription.
Ling Flash 2.0 API key · base URL and setup
- Create a key in the console at uplinkswitch.ai/console. Credit is prepaid from $10 with no subscription, and the key works at once.
- Point your SDK or tool at https://api.uplinkswitch.com/v1, for example with OPENAI_BASE_URL, and send the key as the bearer token.
- Send ling-flash-2.0 as the model. The same key calls every other model in the catalog.
from openai import OpenAI
client = OpenAI(
base_url="https://api.uplinkswitch.com/v1",
api_key="sk-uplink-live-...",
)
completion = client.chat.completions.create(
model="ling-flash-2.0",
messages=[{"role": "user", "content": "Summarize this in one line."}],
)
print(completion.choices[0].message.content)import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'https://api.uplinkswitch.com/v1',
apiKey: 'sk-uplink-live-...',
});
const completion = await client.chat.completions.create({
model: 'ling-flash-2.0',
messages: [{ role: 'user', content: 'Summarize this in one line.' }],
});
console.log(completion.choices[0].message.content);curl https://api.uplinkswitch.com/v1/chat/completions \
-H "authorization: Bearer sk-uplink-live-..." \
-H "content-type: application/json" \
-d '{"model":"ling-flash-2.0","messages":[{"role":"user","content":"Hello"}]}'What would it cost? · paste a prompt, priced before you send it
Input is counted at about 4 characters per token.
Cheapest first. A real request is billed on the provider's own token count. Same estimate as JSON: POST https://api.uplinkswitch.com/v1/estimate, no key needed.