Ling 3.0 Flash VL
Summary
Ling 3.0 Flash VL is an open-weight language model from Inclusionai, released on 10 Sept 2026. It accepts text, images and video and generates text, with a 262K-token context window and up to 33K output tokens per response. As of 17 Oct 2026, the lowest listed API price is $0.06 per million input tokens and $0.18 per million output tokens (OpenRouter), across 3 providers we track.
Native multimodal hybrid MoE model for image and video understanding, reasoning, and visual agents
Last verified 17 Oct 2026. Every figure on this page links to its source.
Specifications
| Developer | Inclusionai |
|---|---|
| Release date | 10 Sept 2026 [models.dev] |
| Status | Generally available [models.dev] |
| Weights | Open weights [Hugging Face] |
| License | mit [Hugging Face] |
| Parameters | 125B [Hugging Face] |
| Context window | 262K (262,144 tokens) [models.dev] |
| Max output | 33K tokens [models.dev] |
| Input | Text, images and video [models.dev] |
| Output | Text [models.dev] |
| Reasoning mode | Yes [models.dev] |
| Tool calling | Yes [models.dev] |
| Hugging Face | inclusionAI/Ling-3.0-flash-VL [Hugging Face] |
Ling 3.0 Flash VL API pricing by provider
USD per million tokens. Sorted by input price.
| Provider | Input | Output | Cached input | Context | Source |
|---|---|---|---|---|---|
| OpenRouter inclusionai/ling-3.0-flash-vl | $0.06 | $0.18 | $0.01 | 131K | OpenRouter, 17 Oct 2026 |
| Novita AI inclusionai/ling-3.0-flash-vl | $0.07 | $0.22 | $0.01 | 262K | models.dev, 17 Oct 2026 |
| Vercel AI Gateway inclusionai/ling-3.0-flash-vl | $0.07 | $0.22 | $0.01 | 256K | models.dev, 17 Oct 2026 |
Running Ling 3.0 Flash VL locally
Estimated memory, from the parameter count and the architecture in config.json on Hugging Face. Includes about 0.8 GB of runtime overhead.
| Quantization | Weights | Total, 8K context | Total, 32K context |
|---|---|---|---|
| Q4_K_M (4-bit) | 76 GB | 77 GB | 78 GB |
| Q8_0 (8-bit) | 133 GB | 134 GB | 135 GB |
| FP16 / BF16 (16-bit) | 250 GB | 251 GB | 252 GB |
At 4-bit with an 8K conversation, Ling 3.0 Flash VL needs about 77 GB, more than any single consumer graphics card; it needs a unified-memory machine, a multi-GPU setup or a split between graphics card and system RAM. Check your own hardware.
Frequently asked questions
What is the context window of Ling 3.0 Flash VL?
Ling 3.0 Flash VL has a context window of 262,144 tokens (262K) and can generate up to 32,768 tokens in a single response, according to models.dev.
How much does the Ling 3.0 Flash VL API cost?
Ling 3.0 Flash VL is listed from $0.06 per million input tokens and $0.18 per million output tokens (OpenRouter). Prices last verified 17 Oct 2026.
Is Ling 3.0 Flash VL open source?
Ling 3.0 Flash VL is an open-weight model: its weights are published on Hugging Face as inclusionAI/Ling-3.0-flash-VL under the mit license. Check the license terms before commercial use.
When was Ling 3.0 Flash VL released?
Inclusionai released Ling 3.0 Flash VL on 10 Sept 2026, according to models.dev.
Which providers offer Ling 3.0 Flash VL?
We track Ling 3.0 Flash VL on 3 providers: OpenRouter, Novita AI, Vercel AI Gateway.
How much VRAM does Ling 3.0 Flash VL need?
About 77 GB at 4-bit (Q4_K_M) with an 8K-token conversation, and about 134 GB at 8-bit. That is more than any single consumer graphics card holds. These are estimates from the model's published parameter count and architecture.
Change history
- OpenRouter price changed: input $0.02 → $0.06, output $0.06 → $0.18 per 1M tokens
- License changed from none to mit
- Parameter count changed from none to 125B
- Now listed on OpenRouter
- Added to the directory
- Now listed on Vercel AI Gateway
- Now listed on Novita AI
Sources
- https://openrouter.ai/inclusionai/ling-3.0-flash-vl
- https://github.com/sst/models.dev/blob/dev/providers/novita-ai/models/inclusionai/ling-3.0-flash-vl.toml
- https://huggingface.co/inclusionAI/Ling-3.0-flash-VL
- https://github.com/sst/models.dev/blob/dev/providers/vercel/models/inclusionai/ling-3.0-flash-vl.toml