Ling-3.0-flash
Ling-3.0-flash is an AI model from inclusionai designed for extensive text-based tasks with a context length of 131,072 tokens and support for reasoning and tools. It can process inputs in text format only but offers robust capabilities through advanced reasoning techniques; however, structured output generation is not supported. This model should be considered by users requiring a balance between performance and cost. With a blended benchmark score of 65.2 across three independent benchmarks, Ling-3.0-flash stands as a reliable choice for those looking to integrate an AI with solid coding abilities while managing costs effectively at $0.075 per million input tokens and $0.22 per million output tokens.
Benchmark results
Independent, published benchmarks. Blended score 65.2 across 3 benchmarks, last refreshed 2026-08-06. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 61.7 |
| AI Index Coding | software engineering tasks | 83.6 |
| AI Index Agentic | multi-step tool-using tasks | 48.8 |
- Model ID
- inclusionai/ling-3.0-flash
- Vendor
- inclusionai
- Released
- July 2026
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 16,384 tokens
- Tool Calling
- ✓ supported
- Structured Output
- not supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.07/M input and $0.22/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.05 |
| A month of a busy support chatbot | 5M in / 2M out | $0.81 |
Similar models
Quick answers
- How much does Ling-3.0-flash cost?
- $0.07 per million input tokens and $0.22 per million output tokens.
- What is Ling-3.0-flash's context window?
- 131,072 tokens, roughly 196 pages of text in a single request.
- Does Ling-3.0-flash support tool calling?
- It supports tool calling, a reasoning mode.
- Can Ling-3.0-flash process images?
- No, it is text-only on the input side.