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inclusionAI: Ling 3.0 Flash

Source description (English)

Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...

Overview

Model specifications

Context
262,144 tokens
Maximum output
32,768 tokens
Architecture
text->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.021
per 1M tokens
Output
$0.063
per 1M tokens
Cache read
$0.0042
per 1M tokens
API

Model configuration

Reasoning

Reasoning required
No
Default parameters
Yes
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"inclusionai/ling-3.0-flash","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

InputOutput

Input
text
Output
text
Reasoning

Yes

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

2 providers

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Novita

Not provided
Context
262K
Maximum output
33K
Input
$0.021
Output
$0.063
Cache read
$0.0042
Cache write
Not provided

DeepInfra

bf16
Context
131K
Maximum output
33K
Input
$0.06
Output
$0.18
Cache read
$0.012
Cache write
Not provided
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