InclusionAI
Released October 1, 2026

Ling 3.1 Flash

Ling 3.1 Flash is InclusionAI's efficiency-focused 560B MoE reasoning model with 25B active parameters, 256K context and an explicit thinking mode for agents.

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Model Overview

Capabilities, design details, and architectural traits

Ling 3.1 Flash - InclusionAI's efficiency-focused MoE successor

Ling 3.1 Flash is the next-generation efficiency-focused Mixture-of-Experts model from Ant Group's inclusionAI lab, positioned as the successor to Ling-3.0-flash. Its defining move is a large scale jump while keeping the active-parameter footprint small, paired with an explicit thinking mode aimed at agent work.

TraitDetail
ArchitectureMixture-of-Experts
ReasoningReasoning model with an explicit thinking mode
Target use casesAgent tasks, search, office software, and specialist applications
Context and output262,144-token context at launch (1M cited as target), up to 32,768 output tokens; text input and output
Launch accessTrial via Vercel's AI Gateway, hosted by Novita, with open weights promised after the trial

Positioning in the Ling line

The model keeps the Flash positioning of the Ling family: a large-total, small-active MoE designed for efficient serving. The scale jump marks the biggest single-generation change in the line so far.

Release status

At launch the model was available only through the hosted trial. Weights and license were announced as forthcoming but not yet posted, so the model was not yet self-hostable.

Benchmark Performance

Independent evaluations · Artificial Analysis

41.1%
Intelligence

Accuracy & Capability Details

Humanity's Last Exam39.4%
SciCode - Scientific Coding54.1%
Long Context Reasoning83.0%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderInclusionAIAnthropicAnthropic
Release DateOctober 1, 2026September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window262K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.30
Best Input Pricing
$4$2
Output Pricing
$0.90
Best Output Pricing
$20$10
Modalities
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Outputs
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Benchmarks (0-100)
Intelligence Index41.1
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Ling 3.1 Flash
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

39%
Ling 3.1 Flash
Humanity's Last Exam
Score: 39%
Ling 3.1 Flash
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

83%
Ling 3.1 Flash
Long Context Reasoning
Score: 83%
Ling 3.1 Flash
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

54%
Ling 3.1 Flash
SciCode Benchmark
Score: 54%
Ling 3.1 Flash
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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