--- title: "Ling-3.0-flash AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/inclusionai-ling-3-0-flash" date_modified: "2026-08-12" profile_kind: "reference" --- # Ling-3.0-flash model profile Ling-3.0-flash is a InclusionAI model profile with a 262,144-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, text generation, tool calling. Ling-3.0-flash is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt. Ling-3.0-flash accepts text and returns text. The snapshot records prompt caching, reasoning controls, text generation, and tool calling as capabilities or interfaces. The dated reference snapshot lists $0.021 input and $0.063 output per million tokens. Cached input is $0.0042 per million tokens. The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Ling-3.0-flash ranked #78 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated. ## Profile facts - **Profile type:** Model research profile - **Provider or publisher:** InclusionAI - **Context window:** 262,144 tokens - **Snapshot date:** 2026-08-12 - **Reference catalog ID:** inclusionai/ling-3.0-flash ## Context, modalities, and identity Ling-3.0-flash accepts text and returns text. The snapshot records prompt caching, reasoning controls, text generation, and tool calling as capabilities or interfaces. - **Provider or publisher:** InclusionAI - **Context window:** 262,144 tokens - **Maximum output:** 32,768 tokens - **Input modalities:** text - **Output modalities:** text - **Knowledge cutoff:** Not disclosed ## Capabilities and supported controls Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route. - **Supported parameters:** frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_logprobs, top_p - prompt caching - reasoning controls - text generation - tool calling ## Dated pricing snapshot The dated reference snapshot lists $0.021 input and $0.063 output per million tokens. Cached input is $0.0042 per million tokens. These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price. - **Price date:** 2026-08-12 - **Input:** $0.021 per 1M tokens - **Cached input:** $0.0042 per 1M tokens - **Output:** $0.063 per 1M tokens ## Benchmark evidence and limitations The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. - **Intelligence Index:** 37.8 - **Coding Index:** 50.6 - **Agentic Index:** 29.3 ## Popularity and market context Ling-3.0-flash ranked #78 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. - **Third-party catalog rank:** #78 - **Global market share:** Not inferred - **Observation date:** 2026-08-12 ## Frequently asked questions ### What is Ling-3.0-flash? Ling-3.0-flash is a InclusionAI model profile with a 262,144-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, text generation, tool calling. ### What context window does Ling-3.0-flash have? The dated profile lists 262,144 tokens of context and up to 32,768 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits. ### What benchmark evidence is available for Ling-3.0-flash? The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ### Is Ling-3.0-flash available through Kendr? This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases. ### Does the popularity rank represent Ling-3.0-flash's global market share? Ling-3.0-flash ranked #78 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one. ## Sources and evidence dates - [Ling-3.0-flash third-party catalog record](https://openrouter.ai/inclusionai/ling-3.0-flash) — catalog, checked 2026-08-12 - [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12 - [Artificial Analysis capability indices methodology](https://artificialanalysis.ai/methodology/capability-indices) — benchmark, checked 2026-08-12 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.