stealthmodels.

MODEL FIELD GUIDE

Ling 3.1 Flash

A hosted reasoning model with fast output in independent testing and low gateway token rates.

A good fit for

High-volume reasoning and agent steps where response speed and API cost matter. Choose a gateway whose context and output limits fit the task.

Context window
262,000tokens[1]
Active parameters
25Bparameters[1]
Model factsArchitecture, context & capabilities
First available
2026-09-29[1]
Developer
InclusionAI[1]
Family
Ling 3.1[1]
Context window
262,000 tokens[1]
Maximum output
33,000 tokens[1]
Total parameters
560B[1]
Active parameters per token
25B[1]
Input
text[1]
Output
text[1]
API access & pricingOpenRouter · $0 input / $0 output · per 1M tokens

Vercel AI Gateway / Novita AI; input 0 USD/1M; output 0/1M; Zero is evidence-backed promotional pricing, not a claim of permanent free access.

[1]
  • OpenRouterObserved 2026-10-06
    Input $0Output $0

    per 1M tokens

    inclusionai/ling-3.1-flash[2]
  • Vercel AI Gateway / Novita AIObserved 2026-10-06
    Input $0Output $0

    per 1M tokens

    Available

    inclusionai/ling-3.1-flash[1]
Measurements & sources3 primary references · Speed & serving conditions
  • Vercel AI Gateway / Novita AIObserved 2026-10-06

    67 tokens/s decode

    3,300 ms to first token

    [1]
  • Artificial AnalysisObserved 2026-10-06

    210.7 tokens/s decode

    1,800 ms to first token

    current

    [3]

StealthMark score

StealthMark measures fluid and visual intelligence of AI models.

General and Visual

General Intelligence

Perspective, anatomy, correct shadows, purposeful detail and physical consistency.

Visual Intelligence

Likeness, anatomy, detail, light, materials, composition and artistic expression.

Judging

Frontier Models blindly judge the AI generation unbiased through an intricate process. Our researchers control for mistakes.

Overall score

Overall combines weighted task scores on a scale from 0 to 100. Repeating a task does not increase its weight. Estimated means the total includes an estimate for one missing scene.

Benchmaxxing

Benchmaxx flags models that score unusually well on the familiar Pelican task compared with their other benchmark results. The percentage measures that imbalance, not the probability of training contamination. Flagged Pelican scores are excluded from Overall. Pelican never counts toward General or Visual.

We keep some prompts private to discourage test-specific optimization.

Scoring categories

Prompt & likeness

Subjects, actions and likeness.

Anatomy & construction

Coherent bodies, joints and machinery.

Space & placement

Perspective, scale and contact.

Light & reflections

Lighting, shadows and reflections.

Purposeful detail

Clear, purposeful small features.

Artistry & character

Composition, expression and drawing skill.

Materials & effects

Surfaces, texture and movement.

Visual integrity

Clean shapes, layers and edges.

BENCHMARK RESULTS

Compare results

This link opens the same results in the same order.

StealthMark benchmark results

Reset benchmark preferences?

Return to the default view, clear comparison selections and restore the advertisement.