# Ling 3.0 Flash Usage, Cost & Rank | OpenCode Data

> Ling 3.0 Flash costs $0.02 per 1M input tokens and $0.06 per 1M output tokens.

Hybrid-linear MoE reasoning model with 124B total and 5.1B active parameters for efficient agents

- Page: https://opencode.ai/data/inclusionai/ling-3-0-flash
- JSON: https://opencode.ai/data/inclusionai/ling-3-0-flash.json
- Model ID: inclusionai/ling-3.0-flash
- Lab: inclusionAI

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 262K |
| Max output | 33K |
| Knowledge cutoff | - |
| Release date | 2026-07-23 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/inclusionAI/Ling-3.0-flash) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.02 | $0.06 | $0.0042 | - |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.