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inclusionAI: Ling 3.1 Flash

Source description (English)

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.

View source on OpenRouter
Overview

Model specifications

Context
262,144 tokens
Maximum output
235,929 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
$0.075
per 1M tokens
Output
$0.225
per 1M tokens
Cache read
$0.015
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-3.1-flash","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
text
Output
text
Reasoning

Yes

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

2 providers

Checked: October 15, 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
236K
Input
$0.075
Output
$0.225
Cache read
$0.015
Cache write
Not provided

DeepInfra

fp4
Context
262K
Maximum output
236K
Input
$0.3
Output
$0.9
Cache read
$0.06
Cache write
Not provided
inclusionai

2 models

All models
inclusionai logoinclusionai

inclusionAI: 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...

Context
131K
Input
text · image · video
Output
text
Input: $0.06Output: $0.18per 1M tokens
View model details →
inclusionai logoinclusionai

inclusionAI: 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. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...

Context
262K
Input
text
Output
text
Input: $0.021Output: $0.063per 1M tokens
View model details →