Atlas / Models / Inclusionai / inclusionAI: Ling 3.1 Flash

inclusionAI: Ling 3.1 Flash✓ Catalog verified

inclusionai/ling-3.1-flash

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

Input price
$0.00 /1M
Output price
$0.00 /1M
Context
262K
Modalities
text
Released
Oct 2, 2026
Tool calling
✓ Yes
Atlas signal
87/100
01

Overview

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

Access: available through the official Inclusionai API. Context window: 262K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Oct 3, 2026
02

Specifications

API identifierinclusionai/ling-3.1-flash
ProviderInclusionai
Model typeText LLM
Context window262K catalog
Input modalitiestext
Output modalitiestext
ReleasedOct 2, 2026
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for inclusionai/ling-3.1-flash as published in the catalog.

$0.00
Input /1M
$0.00
Output /1M
—
Per request
—
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0$0.00 / 1MPer input token
Completion tokens$0$0.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

inclusionAI: Ling 3.1 Flash
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
85signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call inclusionAI: Ling 3.1 Flash through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="inclusionai/ling-3.1-flash",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
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Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does inclusionAI: Ling 3.1 Flash cost?

$0.00 per 1M input tokens and $0.00 per 1M output tokens on the official Inclusionai API.

What is the context window of inclusionAI: Ling 3.1 Flash?

inclusionAI: Ling 3.1 Flash supports up to 262K tokens of context.

Does inclusionAI: Ling 3.1 Flash support tool / function calling?

Yes, inclusionAI: Ling 3.1 Flash supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access inclusionAI: Ling 3.1 Flash?

Use the official Inclusionai API with the model id `inclusionai/ling-3.1-flash`. See the Quick start section above for code examples.