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Models741Deals30d268Policy30d67, 15 pendingSources1,014

Ling-3.0-flash

InclusionAIReleased Aug 4, 2026Current

Score basis

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

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.

Capable2 capabilities
  1. Long Context−21.9%1 of 3
  2. Instruction Following−24.9%1 of 3
Limited4 capabilities
  1. Factuality−31.0%2 of 4
  2. Reasoning−31.3%3 of 6
  3. Coding−32.3%5 of 10
  4. Agentic−39.1%5 of 7
Not rated4 capabilities

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

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

30results on28benchmarks

  • 15 aggregator
  • 15 vendor-reported

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

API features

Tool callingJSON modeReasoning

As listed by OpenRouter

Research

2 papers reference Ling-3.0-flash

Ling-3.0-flash benchmark results

30 results on 28 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

21.9% behind the leader1 of 3 ranked benchmarks measured

Show 1 more long context resultHide 1 long context result

Instruction Following

CapableFull instruction following ranking

24.9% behind the leader1 of 3 ranked benchmarks measured

Factuality

LimitedFull factuality ranking

31.0% behind the leader2 of 4 ranked benchmarks measured

Reasoning

LimitedFull reasoning ranking

31.3% behind the leader3 of 6 ranked benchmarks measured

Coding

LimitedFull coding ranking

32.3% behind the leader5 of 10 ranked benchmarks measured

Show 1 more coding resultHide 1 coding result

Agentic

LimitedFull agentic ranking

39.1% behind the leader5 of 7 ranked benchmarks measured

Math

Not enough dataFull math ranking

0 of 5 ranked benchmarks measured

More results

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

Show 2 more resultsHide 2 results

Ling-3.0-flash: common questions

Who makes Ling-3.0-flash?

Ling-3.0-flash is made by InclusionAI.

When was Ling-3.0-flash released?

Ling-3.0-flash was released on Aug 4, 2026, according to Artificial Analysis.

What is Ling-3.0-flash good at?

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

How much does Ling-3.0-flash cost?

Ling-3.0-flash 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 been tested on?

We track 30 results for Ling-3.0-flash on 28 benchmarks from 2 sources. The latest was recorded on Oct 8, 2026.

Which API features does Ling-3.0-flash support?

OpenRouter lists tool calling, json mode, and reasoning for Ling-3.0-flash.

About this record

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

Tracked since
Aug 5, 2026
Newest source mention
Aug 8, 2026

Where the results come from

Verification: 30 scores · 0 independently verified · 15 aggregator-attributed · 15 vendor-reported. How these tiers are assigned

From 2 sources on 2 sites. api.llm-stats.com supplies 15 of them. Bars are coloured by trust tier.

  • api.llm-stats.com15
  • artificialanalysis.ai15

Also known as

inclusionai/ling-3.0-flashling-3-0-flashling-3.0-flash:free