Ling-3.0-flash
Ling-3.0-flash from inclusionai is designed for handling text inputs within a vast context length of 262,144 tokens and supports both reasoning and tool integration. While it lacks structured output capabilities, the model excels in managing complex tasks through its robust tools and reasoning mechanisms. This model stands out as an excellent choice for organizations or individuals requiring high-context processing and adaptive decision-making with a budget in mind. With a blended benchmark score of 64.4 across three independent evaluations, Ling-3.0-flash offers competitive performance. Given its price point of $0.021 per million input tokens and $0.063 per million output tokens, it provides a cost-effective solution for those looking to balance quality with affordability.
Benchmark results
Independent, published benchmarks. Blended score 64.4 across 3 benchmarks, last refreshed 2026-08-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 62.4 |
| AI Index Coding | software engineering tasks | 83.6 |
| AI Index Agentic | multi-step tool-using tasks | 48.4 |
- Model ID
- inclusionai/ling-3.0-flash
- Vendor
- inclusionai
- Released
- July 2026
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 32,768 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 $0.02/M input and $0.06/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 | $0.01 |
| A month of a busy support chatbot | 5M in / 2M out | $0.23 |
Price & spec history
Tracked daily by PicksByModel since 2026-08-06.
| Date | Input /M | Output /M | Context |
|---|---|---|---|
| 2026-08-07 | $0.02 | $0.06 | 262,144 |
| 2026-08-06 | $0.07 | $0.22 | 131,072 |
Similar models
Quick answers
- How much does Ling-3.0-flash cost?
- $0.02 per million input tokens and $0.06 per million output tokens.
- What is Ling-3.0-flash's context window?
- 262,144 tokens, roughly 393 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.