Ling 3.0 Flash Fin model profile

Evidence snapshot: 2026-10-13

Ling 3.0 Flash Fin 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 Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

Ling 3.0 Flash Fin is a reference profile: InclusionAI publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Ling 3.0 Flash Fin 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 Fin 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 $0.042 input and $0.1232 output per million tokens. Cached input is $0.0084 per million tokens.

No comparable popularity rank or traffic share is present in the 2026-10-13 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Profile data was reviewed for the 2026-10-13 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: 2026-10-13
Knowledge cutoff: Not disclosed
Reference catalog ID: inclusionai/ling-3.0-flash-fin

When to pick Ling 3.0 Flash Fin

Ling 3.0 Flash Fin is a reference profile: InclusionAI publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field.

Reach for it when cost is the binding constraint. At $0.042 in and $0.123 out per 1M tokens, combined token price sits in the cheapest quarter of the 149 models publishing both rates in this snapshot.
Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
Look elsewhere when the task is hard reasoning. Its 22.6 Artificial Analysis intelligence index is below the median of the 119 models carrying that field. Scores from different suites are not interchangeable, so treat this as one signal rather than a ranking.

Context, modalities, and identity

Ling 3.0 Flash Fin 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

Model overview

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

Reference model ID: inclusionai/ling-3.0-flash-fin
Canonical version: inclusionai/ling-3.0-flash-fin-20260827
Hugging Face ID: Not separately documented

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, logprobs, max_tokens, 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 $0.042 input and $0.1232 output per million tokens. Cached input is $0.0084 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: 2026-10-13
Input: $0.042 per 1M tokens
Cached input: $0.0084 per 1M tokens
Output: $0.1232 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints: 1
Best p50 latency: No recent metric
Best p50 throughput: No recent metric
Availability with routing: No recent metric
Availability without routing: No recent metric
Performance date: 2026-10-13

Provider	Quantization	Input / 1M	Output / 1M	Cache read / 1M	Context	p50 latency	p50 throughput	Uptime (1d)
Novita	unknown	$0.042 / 1M	$0.1232 / 1M	$0.0084 / 1M	262,144 tokens	No recent p50	No recent p50	100.00%

Benchmark evidence and limitations

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index: 22.6
Coding Index: 55.6
Agentic Index: 27.9

Popularity and market context

Third-party catalog rank: No verified rank
Global market share: Not inferred
Observation date: 2026-10-13

Frequently asked questions

When should I use Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is a reference profile: InclusionAI publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when cost is the binding constraint: At $0.042 in and $0.123 out per 1M tokens, combined token price sits in the cheapest quarter of the 149 models publishing both rates in this snapshot. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. Look elsewhere when the task is hard reasoning: Its 22.6 Artificial Analysis intelligence index is below the median of the 119 models carrying that field. Scores from different suites are not interchangeable, so treat this as one signal rather than a ranking.

What is Ling 3.0 Flash Fin?

What context window does Ling 3.0 Flash Fin 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 Fin?

The 2026-10-13 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 Fin 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 Fin's global market share?

Sources and evidence dates

Ling 3.0 Flash Fin third-party catalog record (catalog, checked 2026-10-13)
Third-party model catalog methodology (methodology, checked 2026-10-13)
Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)