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Ling-3.0-flash-VL

Score basis

Ling-3.0-flash-VL is capable in long context; and behind the leaders in multimodal tasks, reasoning, factuality, agentic tasks, and coding. Too few results yet to rate safety, math, multilingual tasks, or instruction following.

Capability profile

Bars show the model's median result as a share of the leading model's, per capability. Select a row to see its results.

Capable1 capability
  1. Long Context−14.0%1 of 3
Limited5 capabilities
  1. Multimodal−25.5%1 of 6
  2. Reasoning−31.4%3 of 6
  3. Factuality−31.6%2 of 4
  4. Agentic−33.7%3 of 7
  5. Coding−34.3%2 of 10
Not rated4 capabilities

Too few results yet to rate Safety, Math, Multilingual or Instruction Following.

Price

$0.07input$0.22outputper million tokens

From Artificial Analysis · 4 providers tracked · All prices

Cheaper than 89% of 330 priced models · 3:1 input-to-output blend, log scale

Evidence

14results on14benchmarks

  • 14 aggregator

From 1 source · latest Oct 8, 2026 · How verification works

API features

Tool callingStructured outputsReasoning

As listed by OpenRouter

Ling-3.0-flash-VL benchmark results

14 results on 14 benchmarks, grouped by capability. Each bar is the result as a share of the capability leader's; every result links to its source.

Long Context

CapableFull long context ranking

14.0% behind the leader1 of 3 ranked benchmarks measured

Multimodal

LimitedFull multimodal ranking

25.5% behind the leader1 of 6 ranked benchmarks measured

Reasoning

LimitedFull reasoning ranking

31.4% behind the leader3 of 6 ranked benchmarks measured

Factuality

LimitedFull factuality ranking

31.6% behind the leader2 of 4 ranked benchmarks measured

Agentic

LimitedFull agentic ranking

33.7% behind the leader3 of 7 ranked benchmarks measured

Coding

LimitedFull coding ranking

34.3% behind the leader2 of 10 ranked benchmarks measured

More results

Benchmarks outside the capability baskets. They are not ranked against a leader.

Ling-3.0-flash-VL: common questions

Who makes Ling-3.0-flash-VL?

Ling-3.0-flash-VL is made by InclusionAI.

When was Ling-3.0-flash-VL released?

Ling-3.0-flash-VL was released on Sep 10, 2026, according to Artificial Analysis.

What is Ling-3.0-flash-VL good at?

Ling-3.0-flash-VL is capable in long context; and behind the leaders in multimodal tasks, reasoning, factuality, agentic tasks, and coding. Too few results yet to rate safety, math, multilingual tasks, or instruction following.

How much does Ling-3.0-flash-VL cost?

Ling-3.0-flash-VL costs $0.07 per million input tokens and $0.22 per million output tokens, according to Artificial Analysis. We track its price at 4 providers. At a mix of three input tokens to one output token, it is cheaper than 89% of the 330 priced models we track.

How many benchmarks has Ling-3.0-flash-VL been tested on?

We track 14 results for Ling-3.0-flash-VL on 14 benchmarks from 1 source. The latest was recorded on Oct 8, 2026.

Which API features does Ling-3.0-flash-VL support?

OpenRouter lists tool calling, structured outputs, and reasoning for Ling-3.0-flash-VL.

About this record

Where Ling-3.0-flash-VL's numbers come from, and every name it appears under.

Tracked since
Sep 5, 2026
Newest source mention
Sep 21, 2026

Where the results come from

Verification: 14 scores · 0 independently verified · 14 aggregator-attributed. How these tiers are assigned

From 1 source on 1 site. Artificial Analysis supplies all of them. Bars are coloured by trust tier.

  • artificialanalysis.ai14

Also known as

ling-3.0-flash-vl:freeinclusionai/ling-3.0-flash-vlling-3-0-flash-vl