InclusionAILanguage modelOpen weights

Ling-3.0-flash-VL

Ling-3.0-flash-VL has no overall index value yet because there are too few independent benchmark results.

PopularityRank 670 of 875

0out of 100same as last month

Summary

Ling-3.0-flash-VL adds native image and video input to Ling 3.0 Flash. VideoRoPE represents spatial positions and temporal order, supporting questions about events in longer videos. InclusionAI adds a visual encoder to the language backbone for this purpose.

The MoE model activates 5.5 of its 124 billion parameters per token and handles up to 256K context tokens. Its local weights use MIT.

See for yourself: one prompt, one attempt

SVG short test

One SVG task with the same fixed settings for every model, without hidden thinking.

Ling-3.0-flash-VL

Earlier tests

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Oct 5, 2026 · 42 s · $0.0005

Test details

Run date: Oct 5, 2026
API provider: openrouter
Requested API model: inclusionai/ling-3.0-flash-vl
Reasoning setting: high
Token limit including reasoning: 8,192 tokens
Output tokens: 7,477 tokens
Cost of the attempt: $0.0005
Response time: 42.2 s
API model reported in response: inclusionai/ling-3.0-flash-vl
Pinned endpoint: Novita | inclusionai/ling-3.0-flash-vl-20260910
Temperature: Provider default
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

Task origin: Simon Willison

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 22 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

CritPt v2: Overall (Show measurement, test conditions, and source)

Source value: 2
Score: 2
Metric: pass@1 accuracy
Unit: %
Benchmark version: v2
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: disputed
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/433d5c5d-3092-4026-9727-1587ca07915d/ling-3-0-flash-vl/ling-3-0-flash-vl. Source model name: Ling-3.0-flash-VL. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-VL. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 2.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
Context: This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.

Source Artificial Analysis

MMMU-Pro: Overall (Show measurement, test conditions, and source)

Source value: 78.9595375722543
Score: 78.9595375722543
Metric: pass@1 accuracy
Unit: %
Benchmark version: AA cohort: 1,730 questions
Category: multimodal
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Source model ID: artificial-analysis/433d5c5d-3092-4026-9727-1587ca07915d/ling-3-0-flash-vl/ling-3-0-flash-vl. Source model name: Ling-3.0-flash-VL. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-VL. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled. Score display: 79.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-mmmu-pro:AA cohort: 1,730 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled
Context: The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.. This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

MMMU-Pro: Overall (Show measurement, test conditions, and source)

Source value: 78.9595375722543
Score: 78.9595375722543
Metric: pass@1 accuracy
Unit: %
Benchmark version: AA cohort: 1,730 questions
Category: multimodal
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Source model ID: artificial-analysis/433d5c5d-3092-4026-9727-1587ca07915d/ling-3-0-flash-vl/ling-3-0-flash-vl. Source model name: Ling-3.0-flash-VL. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-VL. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled. Score display: 79.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-mmmu-pro:AA cohort: 1,730 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled
Context: The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.

Source Artificial Analysis

GDPval-AA: Overall (Show measurement, test conditions, and source)

Source value: 1169.42
Score: 1169.42
Metric: GDPval-AA Elo
Unit: Elo
Benchmark version: v2.1
Category: agentic
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/433d5c5d-3092-4026-9727-1587ca07915d/ling-3-0-flash-vl/ling-3-0-flash-vl. Source model name: Ling-3.0-flash-VL. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-VL. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

GDPval-AA: Overall (Show measurement, test conditions, and source)

Source value: 1169.87
Score: 1169.87
Metric: GDPval-AA Elo
Unit: Elo
Benchmark version: v2.1
Category: agentic
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-10-29
Methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/433d5c5d-3092-4026-9727-1587ca07915d/ling-3-0-flash-vl/ling-3-0-flash-vl. Source model name: Ling-3.0-flash-VL. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-VL. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-29-5a1b1cf41cd1. Source payload hash: 5a1b1cf41cd14d4fa7e1b5c737732505ff7f014395c8a19ff9385c13df09b106. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-10-29. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

GDPval-AA: Overall (Show measurement, test conditions, and source)

Source value: 1169.42
Score: 1169.42
Metric: GDPval-AA Elo
Unit: Elo
Benchmark version: v2.1
Category: agentic
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/433d5c5d-3092-4026-9727-1587ca07915d/ling-3-0-flash-vl/ling-3-0-flash-vl. Source model name: Ling-3.0-flash-VL. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-VL. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Ling-3.0-flash-VL (release ling-3-0-flash-vl, row ling-3-0-flash-vl, UUID 433d5c5d-3092-4026-9727-1587ca07915d, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled

Source Artificial Analysis

Artificial Analysis Intelligence Index v4.1.1 (Show measurement, test conditions, and source)

Source value: 42
Score: 42
Metric: Artificial Analysis Intelligence Index v4.1.1 reported score
Unit: No unit provided
Category: source-specific
Direction: Higher is better
Source type: vendor-reported
Evaluator: Provider model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Official image-only table, visually inspected. Default thinking T=0.6/top-p=.95/top-k=20; TerminalBench note specifies AA Terminus 2, 2h, three-run mean, T=1.0. AntBench-Medical is in-house and not released.
Context: Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.

Source Provider model card

CountBench (Show measurement, test conditions, and source)

Source value: 97.33
Score: 97.33
Metric: CountBench reported score
Unit: No unit provided
Category: source-specific
Direction: Higher is better
Source type: vendor-reported
Evaluator: Provider model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Official image-only table, visually inspected. Default thinking T=0.6/top-p=.95/top-k=20; TerminalBench note specifies AA Terminus 2, 2h, three-run mean, T=1.0. AntBench-Medical is in-house and not released.
Context: Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.

Source Provider model card

WorldVQA (Show measurement, test conditions, and source)

Source value: 45.67
Score: 45.67
Metric: WorldVQA reported score
Unit: No unit provided
Category: source-specific
Direction: Higher is better
Source type: vendor-reported
Evaluator: Provider model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Official image-only table, visually inspected. Default thinking T=0.6/top-p=.95/top-k=20; TerminalBench note specifies AA Terminus 2, 2h, three-run mean, T=1.0. AntBench-Medical is in-house and not released.
Context: Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.

Source Provider model card

MMMU-Pro (Show measurement, test conditions, and source)

Source value: 79
Score: 79
Metric: MMMU-Pro reported score
Unit: No unit provided
Category: source-specific
Direction: Higher is better
Source type: vendor-reported
Evaluator: Provider model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Official image-only table, visually inspected. Default thinking T=0.6/top-p=.95/top-k=20; TerminalBench note specifies AA Terminus 2, 2h, three-run mean, T=1.0. AntBench-Medical is in-house and not released.
Context: Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.

Source Provider model card

MathVision (Show measurement, test conditions, and source)

Source value: 84.87
Score: 84.87
Metric: MathVision reported score
Unit: No unit provided
Category: source-specific
Direction: Higher is better
Source type: vendor-reported
Evaluator: Provider model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Official image-only table, visually inspected. Default thinking T=0.6/top-p=.95/top-k=20; TerminalBench note specifies AA Terminus 2, 2h, three-run mean, T=1.0. AntBench-Medical is in-house and not released.
Context: Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.

Source Provider model card

Humanity's Last Exam-MM (Show measurement, test conditions, and source)

Source value: 19.88
Score: 19.88
Metric: Humanity's Last Exam-MM reported score
Unit: No unit provided
Category: source-specific
Direction: Higher is better
Source type: vendor-reported
Evaluator: Provider model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Official image-only table, visually inspected. Default thinking T=0.6/top-p=.95/top-k=20; TerminalBench note specifies AA Terminus 2, 2h, three-run mean, T=1.0. AntBench-Medical is in-house and not released.
Context: Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.

Source Provider model card

Page 1 of 2

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

GPT-573

DeepSeek V4.1 Flash 101768

Kimi K368

DiffusionGemma 26B A4B IT63

Ling-3.0-flash-VL0

DeepSeek V4.1 Flash 1017

DiffusionGemma 26B A4B IT

Claude Opus 5

Qwen 3.8 Flash

Ling-3.0-flash-VL

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 5, 2026

Ling-3.0-flash-VLAgnes 3.0 FlashAion 3.5Aion 3.5 MiniEmber-1

All specifications

Architecture

Model class: Multimodal language model with a vision encoder; Source: Model class
Parameters: 124 billion total, 5.5 billion active; Source: Parameters
Architecture: ViT vision encoder, MLP projector, VideoRoPE, and sparse MoE backbone; Source: Architecture

Input and output

Context window: Up to 256K tokens according to the model card; Source: Context window
Input: Text, images, and video; Source: Input

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking: Unknown; no source
Watermarking technique: Not known; no source

Licence and access

License: MIT; Source: License

API

Model ID: inclusionAI/Ling-3.0-flash-VL; Source: Model ID

Prices

No InclusionAI subscription includes this model. Through other providers from €6.83 a month (Poe Basic, with limited points). 5 plans in Germany.

Plan	Monthly price	Note
Poe Basic	€6.83	with limited credit
Poe Plus	€27.36	with limited credit
Poe Pro	€68.41	with limited credit
Poe Advanced	€136.84	with limited credit
Poe Max	€342.11	with limited credit

All plans in the AI subscription comparison

Frequently asked questions about Ling-3.0-flash-VL

Can I run Ling-3.0-flash-VL locally?

Yes, the weights are open. With 124B parameters it needs a lot of memory, more a server than a laptop.

Stated by InclusionAI

Open weights: yes
License: MIT
Parameters: 124B
active per token: 5.5B

Where can I use Ling-3.0-flash-VL?

Not in a InclusionAI subscription. Including other providers that makes 5 plans in Germany.

Subscription comparison, prices in Germany incl. VAT

At InclusionAI

No InclusionAI subscription includes this model.

Through other providers

5 plans from 1 provider, from €6.83 a month (Poe Basic), with limited credits.

Sources and data date

Show all 15 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

Evaluator	Test series	Composite indices	Recorded active measurements
Artificial Analysis	2	2	4

Without vendor claims and historical or disputed results; those stay labelled in the single values.

Type	Evidence and data date
Research status	Research date October 4, 2026. 4 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Unresolved	antbench-medical-score-components Original wording The source presents two AntBench-Medical numbers without assigning each number to a named metric, so neither is imported as a benchmark result.
Not published	sample-count-and-confidence-interval Original wording AA publishes neither a per-profile total executed N nor a confidence interval for either aggregate score. No component task count is substituted for per-profile N.
Unresolved	immutable-model-revision-and-reasoning-effort Original wording The profile names a weights repository but does not pin a commit, immutable serving revision, or exact model-side reasoning effort.
Additional source	Ling-3.0-flash-VL model card (retrieved October 3, 2026; October 4, 2026) · Ling-3.0-flash-VL model card · Editorial description reviewed October 4, 2026
Additional source	Ling-3.0-flash base model card (retrieved October 3, 2026) · Ling-3.0-flash base model card · Editorial description reviewed October 4, 2026
Additional source	Ling-3.0-flash-Fin model card (retrieved October 3, 2026) · Ling-3.0-flash-Fin model card · Editorial description reviewed October 4, 2026
Additional source	Artificial Analysis (retrieved November 2, 2026)
Additional source	Artificial Analysis (retrieved October 29, 2026; November 2, 2026; November 6, 2026)
Additional source	Artificial Analysis (retrieved November 2, 2026; November 6, 2026)
Additional source	Artificial Analysis, ling 3 0 flash vl model page (retrieved October 17, 2026)
Additional source	DataLLM Lab (retrieved October 20, 2026)
Additional source	Model metadata (retrieved October 17, 2026)
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Ollama: cumulative downloads for the popularity index
Additional source	Replicate: cumulative runs for the popularity index
Additional source	Google Trending Now: limited feed selection for Germany and the US
Additional source	Creative Commons Attribution 4.0