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Ling 3.0 Flash

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*.

At a glance

Input / 1M
$0.02
Output / 1M
$0.06
Context
262K
Max output
33K
Intelligence
20.1
Released
Jul 2026
Text inputReasoningTool calling

Pricing

Ling 3.0 Flash API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.02
Output tokensPer 1M tokens$0.06
Cached input (read)Per 1M tokens$0.00
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$0.07

per 1,000 requests

Coding task

30K in, 4K out

$0.88

per 1,000 requests

Long document summary

150K in, 2K out

$3.28

per 1,000 requests

Benchmarks

Ling 3.0 Flash benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

20.1

Coding index

50.6

Agentic index

19.3

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
262K tokens
Max output
33K tokens
Input types
Text
Output types
Text
Reasoning effort
Not available
Release date
July 23, 2026
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does Ling 3.0 Flash cost?

Ling 3.0 Flash costs $0.02 per 1M input tokens and $0.06 per 1M output tokens through the API. A typical chat message costs about $0.07 per 1,000 messages.

What is the context window of Ling 3.0 Flash?

Ling 3.0 Flash accepts up to 262K tokens of input and can write up to 33K tokens in a single response.

What is the best alternative to Ling 3.0 Flash?

Hy3 from Tencent is a strong alternative. It offers: higher intelligence score.

Can I use Ling 3.0 Flash alongside other models?

Yes. Shortcut Chat sends one prompt to Ling 3.0 Flash and any other models you pick at the same time, so you can compare answers side by side.

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Try Ling 3.0 Flash next to every other model.

Use Ling 3.0 Flash alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.