Ling 3.0 Flash
Ling 3.0 Flash is a language model from InclusionAI, part of the Ling 3.0 family, positioned as a lower-latency "Flash" variant within that lineup.
API Pricing
Cheapest on OpenRouter — 55% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $0.021 | $0.063 | $0.0042 | |
| $0.060 | $0.180 | $0.012 | |
| $0.060 | $0.180 | $0.012 |
Prices updated daily. Last check: Sep 30, 2026
Ling 3.0 Flash pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- GPQA Diamond85.5%
- Humanity's Last Exam23.7%
Coding
- SciCode42.0%
Agentic & Tool Use
- Terminal-Bench v2.155.4%
- τ-bench Banking27.2%
Instruction & Long Context
- Long-Context Reasoning73.0%
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- InclusionAI
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
Strengths
- Part of the Ling 3.0 family, so prompts and tooling can often be reused when moving between family members
- "Flash" positioning targets lower latency and higher throughput than heavier siblings in the same lineup
- Useful as a cost-tier option for high-volume workloads where a larger model is unnecessary
- Released by InclusionAI, which publishes the Ling series as a documented model family rather than a one-off release
- Comparable across providers on this page, so serving cost and availability can be evaluated side by side
Limitations
- We do not have a confirmed context window length for this model in our database
- Modality support (for example image or audio input) is not tracked on our side and should be verified with the provider
- Our collected throughput and time-to-first-token measurements are currently empty, so latency claims cannot be independently checked here
- As a Flash-tier variant, it may trail larger Ling 3.0 models on complex reasoning and code tasks
- Provider availability for InclusionAI models is narrower than for models from the largest Western labs
Key Features
About Ling 3.0 Flash
Common Use Cases
Ling 3.0 Flash fits workloads where request volume and response speed dominate the requirements: customer-facing chat, drafting and rewriting, summarization of moderate-length documents, extraction into structured fields, routing and classification, and as the fast path in a tiered setup that escalates hard requests to a larger model. Because it sits in the Flash tier of the Ling 3.0 family, it is a reasonable default for repetitive, well-scoped tasks and a less obvious choice for long-horizon agentic work or difficult mathematical and code reasoning, where a larger Ling 3.0 variant or a dedicated reasoning model should be evaluated first. Since we do not have a verified context window on file, confirm the limit with your provider before committing to long-document pipelines.
Frequently Asked Questions
How much does Ling 3.0 Flash cost to run?
Pricing depends on which provider you use and how it is billed — per-token input and output rates, batch or cached-token discounts, and dedicated capacity all differ between hosts. Check the pricing table on this page for the current rates from each provider that serves Ling 3.0 Flash.
What is Ling 3.0 Flash best used for?
It is best suited to high-volume, latency-sensitive text work: chat assistants, summarization, rewriting, structured extraction, and classification or routing. For long multi-step reasoning or hard code generation, benchmark it against a larger Ling 3.0 model before standardizing on it.
How does Ling 3.0 Flash differ from other models in the Ling 3.0 family?
The "Flash" designation marks it as the speed-oriented variant of the family, intended to serve requests faster and more cheaply than the heavier Ling 3.0 models. The trade-off is typically some accuracy on the hardest reasoning and coding tasks.
What context window does Ling 3.0 Flash support?
Our database does not have a confirmed context window figure for Ling 3.0 Flash. Because limits can also vary by host, check the documentation of the provider you plan to use rather than assuming a value.
Does Ling 3.0 Flash accept image input or support tool calling?
We do not currently track modality support or tool-calling behavior for this model, so we cannot confirm either way. Verify supported input types and function-calling support with your chosen inference provider.