As of August 20, 2026, Ling-3.0-flash API pricing is $0.06 per million input tokens and $0.18 per million output tokens. A typical 100K-in / 20K-out request costs $0.010. Source: https://developer.ant-ling.com/en/docs/models/ling/
Source: inclusionAI pricing (https://developer.ant-ling.com/en/docs/models/ling/)
Input $/M
$0.06
Output $/M
$0.18
Blended / 1M
$0.24
100K / 20K request
$0.010
| Context Window | 262.1K |
|---|---|
| Max Output | 32.8K tokens |
| Release Date | 2026-07-23 |
| Knowledge Cutoff | N/A |
| License | Proprietary |
| Throughput | 1000 tok/s |
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As of August 20, 2026, Ling-3.0-flash inclusionAI API pricing is $0.06 per million input tokens and $0.18 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://developer.ant-ling.com/en/docs/models/ling/
On this page the blended Ling-3.0-flash API cost is $0.24 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $0.36.
A typical Ling-3.0-flash API request with 100K input tokens and 20K output tokens costs about $0.010 at current rates as of August 20, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from inclusionAI can bring the real invoice lower than the public list rate at https://developer.ant-ling.com/en/docs/models/ling/.
Ling-3.0-flash supports a 262K token context window and can generate up to 33K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
No. Ling-3.0-flash is a proprietary model by inclusionAI. The only public way to call it is inclusionAI's API, billed per million input and output tokens. There is no self-host option for the weights.
Benchmark data for Ling-3.0-flash is not yet available. Check back as evaluation results are published. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Ling-3.0-flash vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Ling-3.0-flash. Open-weight models can be cheaper still if you self-host, but that is not the same as inclusionAI API pricing on this page.
Ling-3.0-flash is called through inclusionAI's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for inclusionAI and 5+ other providers with auth, payments, and deployment already configured.
This Ling-3.0-flash page tracks the latest published inclusionAI API pricing from inclusionAI, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://developer.ant-ling.com/en/docs/models/ling/. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Ling-3.0-flash has a measured throughput of about 1000 tokens per second (tok/s). Throughput is how fast completions stream once the model starts generating; time-to-first-token can still lag under load. Faster APIs matter when you are building chat or agents, even if the per-million-token price is the same.
Ling-3.0-flash is a proprietary model from inclusionAI. Current API pricing is $0.06 per million input tokens and $0.18 per million output tokens, with a 262.1K token context window. A blended 1M-in / 1M-out workload costs $0.24.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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