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inclusionAI: Ling 3.0 Tiny

by Inclusionai

7.8
Quality score / 10

Overview

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...

Our take

Among the crowded field of AI chatbots and assistants, Ling 3.0 Tiny positions itself as a contender for developers building responsive agents and systems requiring robust instruction following. While alternatives like Claude and ChatGPT offer broad conversational capabilities, this model distinguishes itself with a focus on integrating into workflows that demand structured outputs and tool interaction. For instance, a developer might use it to power a customer service bot that needs to interpret user requests, call an external API to fetch information, and then summarise the findings in a predictable JSON format. Its 262,144-token context window is substantial, and the built-in reasoning (chain-of-thought) mode aims to handle more complex problem-solving than models without this feature.

Ideal for developers and businesses that require an AI assistant for multi-turn conversations and agent-style applications, particularly those with budget considerations given its $0.015 per 1M input tokens API price, which is positioned as cheaper than many comparable models. However, it is a text-only model, lacking image input capabilities, and there is no free tier available for initial experimentation. Those needing a cost-effective, developer-centric model with strong agentic features should consider it, while users requiring multimodal input or a free entry point will need to look elsewhere.

How inclusionAI: Ling 3.0 Tiny stacks up

Among the 15 chatbots & llms tools in our directory, it ranks #13 of 15 on quality (7.8/10), 8% below the 15-tool average of 8.5, and its $0.015/1M input-token rate is in the budget end — 99% cheaper than the 10-model average of $1.99/1M.

Weighing quality against cost, inclusionAI: Ling 3.0 Tiny's cost-per-quality-point of $0.00 places it in the top 10% for value among chatbots & llms tools.

inclusionAI: Ling 3.0 Tiny in depth

inclusionAI: Ling 3.0 Tiny, built by Inclusionai, sits in the chatbots & llms space and is a paid tool starting at $0.01/1M tokens. Our editors rate it 7.8 out of 10 based on capability, ecosystem and value. It handles a context window of 262,144 tokens.

On the feature side, inclusionAI: Ling 3.0 Tiny brings 262,144-token context window, reasoning / chain-of-thought, tool / function calling and structured (json) outputs. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.015 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

inclusionAI: Ling 3.0 Tiny is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
—
Context window
262,144 tokens
Free tier
No
Updated
2026-11-07

Key features

  • ✓262,144-token context window
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs

Pricing

$0.01/1M tokens
Pay per token
Paid$0.01/1M tokens
API input
$0.015 / 1M tokens
API output
$0.045 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.015 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Supports tool / function calling for agent-style workflows
  • +Can return structured JSON output for reliable parsing

Cons

  • −No free tier — usage is billed per token
  • −Text-only: does not accept image input

Who should use inclusionAI: Ling 3.0 Tiny

  • →Anyone looking for a chatbots & llms tool from Inclusionai.
  • →Teams and individuals focused on research and writing.
  • →People who value low api price — $0.015 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • →Workflows that need a 262,144 tokens context window.

Who should look elsewhere

  • →Anyone who needs a free tier — this tool is paid only.
  • →Those for whom no free tier — usage is billed per token is a dealbreaker.
  • →Users who can't accept that text-only: does not accept image input.

Best for

10 Best inclusionAI: Ling 3.0 Tiny Alternatives in 2026

inclusionAI: Ling 3.0 Tiny is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to inclusionAI: Ling 3.0 Tiny, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
DeepSeekFree tierPay per token

DeepSeek

DeepSeek is a Chinese AI lab that stunned the industry with frontier-level reasoning models at a fraction of typical…

+ Frontier reasoning at very low cost+ Open weights+ Excellent for math and code
Read full DeepSeek review →
5
PerplexityFree tier$20/mo

Perplexity AI

Perplexity is an AI answer engine that combines live web search with large language models to deliver cited, up-to-date…

+ Always-cited, current answers+ Great for research and fact-finding+ Clean, fast interface
Read full Perplexity review →
6
QwenFree tierPay per token

Alibaba Cloud

Qwen is Alibaba's series of open-weight models spanning chat, coding, vision and math.

+ Top-tier open model quality+ Excellent multilingual coverage+ Specialised coder and math variants
Read full Qwen review →
7
MistralFree tierPay per token

Mistral AI

Mistral AI is a European lab offering both open-weight and commercial models that punch well above their size.

+ Open weights for self-hosting+ Strong price-to-performance+ European data residency
Read full Mistral review →
8
GrokFree tier$8/mo

xAI

Grok is xAI's assistant, tightly integrated with the X platform and trained with a distinctively candid, witty persona.

+ Live social-media awareness+ Personable, humorous tone+ Bundled with X Premium
Read full Grok review →
9
LlamaFree tierPay per token

Meta

Llama is Meta's family of open-weight large language models that became the de-facto foundation for the open-source AI…

+ Fully self-hostable and customizable+ Massive ecosystem and tooling+ Very low inference cost
Read full Llama review →
10
Cohere CommandFree tierPay per token

Cohere

Cohere's Command models are purpose-built for enterprise retrieval-augmented generation and agentic workflows.

+ Excellent for enterprise RAG+ Flexible private deployment+ Strong retrieval tooling
Read full Cohere Command review →

inclusionAI: Ling 3.0 Tiny vs top alternatives

A side-by-side look at how inclusionAI: Ling 3.0 Tiny stacks up against its closest rivals.

FeatureinclusionAI: Ling 3.0 TinyInclusionaiClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score7.8 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.01/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.015 / 1M tokens$8 / 1M tokens$1 / 1M tokens$1.5 / 1M tokens
API output price$0.045 / 1M tokens$40 / 1M tokens$5 / 1M tokens$7.5 / 1M tokens
Speed—FastFastFast
Context window262,144 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 262,144-token context window
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Low API price — $0.015 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Supports tool / function calling for agent-style workflows
  • + Can return structured JSON output for reliable parsing
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • − No free tier — usage is billed per token
  • − Text-only: does not accept image input
  • − No native image generation
  • − Fewer consumer integrations than ChatGPT
  • − Usage caps on the most capable models
  • − Can be verbose and overly cautious
  • − Quality can be inconsistent on edge cases
  • − Privacy concerns for some users

Frequently asked questions

Q. Is inclusionAI: Ling 3.0 Tiny free?

No — inclusionAI: Ling 3.0 Tiny is a paid tool, starting at $0.01/1M tokens.

Q. How much does inclusionAI: Ling 3.0 Tiny cost?

inclusionAI: Ling 3.0 Tiny starts at $0.01/1M tokens. API usage is around $0.015 per 1M input tokens and $0.045 per 1M output tokens.

Q. What is inclusionAI: Ling 3.0 Tiny best for?

inclusionAI: Ling 3.0 Tiny is best suited to research and writing, within the chatbots & llms category.

Q. What are the best inclusionAI: Ling 3.0 Tiny alternatives?

Popular alternatives to inclusionAI: Ling 3.0 Tiny include Claude, ChatGPT, Gemini and DeepSeek. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to inclusionAI: Ling 3.0 Tiny?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from inclusionAI: Ling 3.0 Tiny?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Text-only: does not accept image input), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

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