Ling-3.0-flash model profile
Evidence snapshot:
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 (catalog, checked 2026-08-12)
- Third-party model catalog methodology (methodology, checked 2026-08-12)
- Artificial Analysis capability indices methodology (benchmark, checked 2026-08-12)