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VECTOR WIREAI INTELLIGENCE
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Ling-3.0-flash-Fin

Score basis

Ling-3.0-flash-Fin is capable in long context; and behind the leaders in factuality, reasoning, agentic tasks, and coding. Too few results yet to rate safety, math, multimodal tasks, 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−20.8%1 of 3
Limited4 capabilities
  1. Factuality−30.7%2 of 4
  2. Reasoning−34.1%2 of 6
  3. Agentic−34.6%4 of 7
  4. Coding−35.2%2 of 10
Not rated5 capabilities

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

Price

$0.07input$0.22outputper million tokens

From Artificial Analysis · 4 providers tracked · All prices

Cheaper than 89% of 331 priced models · 3:1 input-to-output blend, log scale

Evidence

18results on17benchmarks

  • 13 aggregator
  • 5 vendor-reported

From 2 sources · latest Oct 8, 2026 · How verification works

API features

Tool callingStructured outputsReasoning

As listed by OpenRouter

Ling-3.0-flash-Fin benchmark results

18 results on 17 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

20.8% behind the leader1 of 3 ranked benchmarks measured

Factuality

LimitedFull factuality ranking

30.7% behind the leader2 of 4 ranked benchmarks measured

Reasoning

LimitedFull reasoning ranking

34.1% behind the leader2 of 6 ranked benchmarks measured

Agentic

LimitedFull agentic ranking

34.6% behind the leader4 of 7 ranked benchmarks measured

Show 2 more agentic resultsHide 2 agentic results

Coding

LimitedFull coding ranking

35.2% 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-Fin: common questions

Who makes Ling-3.0-flash-Fin?

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

When was Ling-3.0-flash-Fin released?

Ling-3.0-flash-Fin was released on Sep 11, 2026, according to Artificial Analysis.

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

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

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

Ling-3.0-flash-Fin 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 331 priced models we track.

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

We track 18 results for Ling-3.0-flash-Fin on 17 benchmarks from 2 sources. The latest was recorded on Oct 8, 2026.

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

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

About this record

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

Tracked since
Aug 29, 2026
Newest source mention
Sep 23, 2026

Where the results come from

Verification: 18 scores · 0 independently verified · 13 aggregator-attributed · 5 vendor-reported. How these tiers are assigned

From 2 sources on 2 sites. Artificial Analysis supplies 13 of them. Bars are coloured by trust tier.

  • artificialanalysis.ai13
  • api.llm-stats.com5

Also known as

ling-3.0-flash-fin:freeinclusionai/ling-3.0-flash-finling-3-0-flash-fin