Ling-3.0-flash
Analysis Summary
Ling-3.0-flash is a value-focused model from inclusionAI with an intelligence index of 37.8 and coding index of 50.6. It supports tool use and function calling, and its 262K context window is large enough for substantial briefs, content plans, and many code-oriented tasks. The text-only modality keeps its deployment profile focused and efficient.
Its pricing is the standout business advantage, with input at $0.021 per million tokens and output at $0.063. That makes it well suited to SEO drafting, classification, structured content transformations, routine coding assistance, and high-volume automation. The lower agentic index of 29.3 limits its suitability for long, autonomous tool chains, so complex client operations should use a stronger reasoning model.
Assessed August 9, 2026
Editorial notes
Ling-3.0-flash delivers strong coding at exceptionally low pricing, with a 262K context window, tool use, and function calling. Its agentic capability is less advanced, so it suits high-volume automation better than autonomous complex workflows.
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DFO Verdict
Ling-3.0-flash delivers strong coding at exceptionally low pricing, with a 262K context window, tool use, and function calling. Its agentic capability is less advanced, so it suits high-volume automation better than autonomous complex workflows.
How Ling-3.0-flash compares
Ling-3.0-flash ranks #73 of 420 AI models we track for overall intelligence, #59 of 193 for coding, #57 of 175 for agentic tasks. Its 262K-token context window is larger than 74% of the models we list. At $0.02 per million input tokens it is cheaper than 79% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.02 | $0.000021 |
| Output | $0.06 | $0.000063 |
What would Ling-3.0-flash cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 694 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Ling-3.0-flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Ling-3.0-flash
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers..
Frequently asked questions about Ling-3.0-flash
How much does Ling-3.0-flash cost?
Ling-3.0-flash costs $0.02 per million input tokens and $0.06 per million output tokens.
What is the context window of Ling-3.0-flash?
Ling-3.0-flash has a context window of 262,144 tokens (262K).
Is Ling-3.0-flash good for coding?
On our coding benchmark index, Ling-3.0-flash ranks #59 of 193 models, placing it in the broader range of the field for code generation and debugging.
What can Ling-3.0-flash do?
Ling-3.0-flash supports tool use and function calling.
Who created Ling-3.0-flash?
Ling-3.0-flash is developed by Inclusionai and was released on July 23, 2026.
