All Inclusionai models
I

Ling-2.6-flash

Inclusionai · released 4 months ago

Ling-2.6-flash is a Inclusionai model with a 262K token context window — about 370 pages of text. It reads Text and replies in Text.

$0.011

input / 1M tokens

$0.035

output / 1M tokens

262K

context — about 370 pages

0.01¢

a client proposal

Pricing

Input
$0.011 per million tokens
Output
$0.035 per million tokens
Cached input
$0.0023 per million tokens

Billed from your Alyph wallet. Prices can change when the provider changes theirs — last checked August 9, 2026.

The numbers

Provider
Inclusionai
Released
4 months ago (2026-04-21)
Context window
262K tokens — about 370 pages
Max output
33K tokens per reply
Input
Text
Output
Text
Reasoning
Answers directly

Cost vs Token Amount

Drag the slider to adjust the split between input and output workload.

80% Input20% Output
free0.8¢1.6¢0 tokens250k500k750k1000k
Ling-2.6-flash

Adjust the ratio slider to change how output tokens influence the final price for equivalent workloads.

What a task costs

2K tokens in · 500 tokens out.

Ling-2.6-flash

Inclusionai

0¢

for this task

57% input · 43% output

Full pricing →

Your $5 welcome credit covers about 124,223 of these.

Compare Ling-2.6-flash

Closest in price on a typical task:

Ling-2.6-flash vs Mistral Nemo →Ling-2.6-flash vs Lyria 3 Clip Preview →Ling-2.6-flash vs Lyria 3 Pro Preview →Ling-2.6-flash vs Granite 4.0 Micro →Any other combination →

Questions, answered

How much does Ling-2.6-flash cost on Alyph?

Ling-2.6-flash costs $0.011 per million input tokens and $0.035 per million output tokens on Alyph. A typical task — 5K tokens in, 800 out — works out to about 0.01¢. Billed from your Alyph wallet, with hard spending limits. Prices can change when the provider changes theirs; this page was last checked on August 9, 2026.

What is Ling-2.6-flash's context window?

262K tokens — about 370 pages. Replies can be up to 33K tokens long.

Can Ling-2.6-flash read images and files?

Ling-2.6-flash is text-only. The canvas still serializes uploads into plain text, so you can work with files — but it cannot see images.

Does Ling-2.6-flash show its reasoning?

No — Ling-2.6-flash answers directly, without a visible thinking pass.

Test Ling-2.6-flash against Mistral Nemo

One prompt, both models at the same time, the better answer wins. Free to start, with $5 of credit.

Sign up free Try the demo