InclusionAI
Ling 3.0 Flash VL
Tool callingStructured outputReasoningImage inputVideo input
- Context
- 131K
- Released
- 1mo ago
- Parameters
- —
- Input / 1M tokens
- $0.06
- Output / 1M tokens
- $0.18
- Cached input / 1M tokens
- $0.01
Sources:OpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- InclusionAI
- Model family
- Ling
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- September 4, 2026
- Model ID
inclusionai/ling-3.0-flash-vl- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text, image, video
- Output modalities
- text
- Modality
- text+image+video->text
- Tokenizer
- Other
- Max output tokens
- 33K
- Hugging Face
- inclusionAI/Ling-3.0-flash-VL
- Source freshness
- Endpoints synced Oct 15, 2026, 2:04 PM UTC
Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| deepinfra/fp16 | 131K | $0.06 | $0.18 | $0.01 | — | 99.76% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.