inclusionAI: Ling 3.0 Flash✓ Catalog verified
*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...
Overview
*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...
Access: available through the official Inclusionai API. Context window: 262K.
Specifications
| API identifier | inclusionai/ling-3.0-flash |
| Provider | Inclusionai |
| Model type | Text LLM |
| Context window | 262K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Jul 23, 2026 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for inclusionai/ling-3.0-flash as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $2.1e-8 | $0.02 / 1M | Per input token |
| Completion tokens | $6.3e-8 | $0.06 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.02Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call inclusionAI: Ling 3.0 Flash through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="inclusionai/ling-3.0-flash",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| Arcee AI: Trinity Large Thinking | Arcee Ai | 262K | $0.25 | View → |
| ByteDance Seed: Seed 1.6 | Bytedance Seed | 262K | $0.25 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does inclusionAI: Ling 3.0 Flash cost?
$0.02 per 1M input tokens and $0.06 per 1M output tokens on the official Inclusionai API.
What is the context window of inclusionAI: Ling 3.0 Flash?
inclusionAI: Ling 3.0 Flash supports up to 262K tokens of context.
Does inclusionAI: Ling 3.0 Flash support tool / function calling?
Yes, inclusionAI: Ling 3.0 Flash supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access inclusionAI: Ling 3.0 Flash?
Use the official Inclusionai API with the model id `inclusionai/ling-3.0-flash`. See the Quick start section above for code examples.