How much does Ling 3.0 Tiny cost?

Ling 3.0 Tiny costs $0.015/M input tokens and $0.045/M output tokens, with separate rates for Cache Read at $0.003/M tokens.

What is the context length of Ling 3.0 Tiny?

Ling 3.0 Tiny has a 262,144 token context window. It supports up to 250,000 completion tokens.

Does Ling 3.0 Tiny support tool calling and structured outputs?

Yes. Ling 3.0 Tiny accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Which providers serve Ling 3.0 Tiny?

Ling 3.0 Tiny is served by 1 provider on OpenRouter: Ant Digital.

What other text models does inclusionAI have?

Ling 3.2 Flash (free), Ling 3.1 Flash, Ling 3.0 Flash VL and 1 more are other text models from inclusionAI.

When was Ling 3.0 Tiny released?

Ling 3.0 Tiny was released on August 6, 2026.

inclusionAI: Ling 3.0 Tiny

inclusionai/ling-3.0-tiny

Model weights

Compare

Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable thinking and instant modes.

Modalities

In / out price

$0.015 / $0.045per 1M

Context

262K

Released

Aug 6, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency / throughput


	$0.015	$0.045	$0.003	0.37s	99 tok/s	100.00%

Input $0.015Output $0.045
99 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.005533/M tokens

Output

$0.04355/M tokens

Ling 3.0 Tiny — Price history

Price history

No effective price data for this selection

		$0.00553	$0.0435	78.0%	100.0%

Effective in $0.00553Effective out $0.0435
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.98%

Availability over the last 3 days

Last 72 hours

Availability 99.98%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.99%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for inclusionAI: Ling 3.0 Tiny (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Ling 3.0 Tiny Coding Index	26.5
Artificial Analysis	Ling 3.0 Tiny Agentic Index	4.4
Artificial Analysis	Ling 3.0 Tiny GPQA Diamond	73.4%
Artificial Analysis	Ling 3.0 Tiny HLE	9.3%
Artificial Analysis	Ling 3.0 Tiny AA-LCR	60.3%
Artificial Analysis	Ling 3.0 Tiny τ-Bench Banking	20.8%
Artificial Analysis	Ling 3.0 Tiny GDPval-AA	3.4%
Artificial Analysis	Ling 3.0 Tiny CritPt	0.0%
Artificial Analysis	Ling 3.0 Tiny SciCode	24.2%
Artificial Analysis	Ling 3.0 Tiny Terminal-Bench 4.0	0.0%
Artificial Analysis	Ling 3.0 Tiny Terminal-Bench 2.1	27.7%
Artificial Analysis	Ling 3.0 Tiny AA-Omniscience Accuracy	37.9%
Artificial Analysis	Ling 3.0 Tiny AA-Omniscience Non-Hallucination Rate	13.3%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

There are many coding agents, but this one is yours.

301Mtokens

Rayline

new

275Mtokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

247Mtokens

DeepSeek Harness

new

140Mtokens

Nous Research API

Nous Research is an AI research team focused on advancing open-source AI.

104Mtokens

Rest of OpenRouter

114M

Top 5 Apps

15M

Not currently available through EU in-region routing. In-region routing docs

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Image

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Image

Ling 3.0 Flash VL

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Ling 3.0 Flash Fin

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Ling 3.0 Flash

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Ring-2.6-1T

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Ling-2.6-1T

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The model achieves state-of-the-art results on benchmarks such as AIME26 and SWE-bench Verified, and is well suited for advanced coding, complex reasoning, and large-scale agent workflows where both capability and efficiency are critical.

Text262K context

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inclusionAI: Ling 3.0 Tiny

Providers