inclusionAI: Ling-2.6-flash
InclusionAI: Ling-2.6-flash is designed to process text inputs within a context length of 262144 tokens and can generate up to 32768 completion tokens. It supports tools integration but lacks reasoning capabilities and does not provide structured output. This model is ideal for tasks that require handling extensive text data, such as long-form content generation or document processing. Given its blended benchmark score of 21.6 across three independent benchmarks, InclusionAI: Ling-2.6-flash should be considered by users requiring a robust text-processing solution at a competitive price point of $0.01 per million input tokens and $0.03 per million output tokens. While it excels in certain areas, its performance varies, making it a strong contender for those prioritizing cost-effectiveness and broad text-based applications.
Benchmark results
Independent, published benchmarks. Blended score 21.6 across 3 benchmarks, last refreshed 2026-08-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 23.5 |
| AI Index Coding | software engineering tasks | 41.7 |
| AI Index Agentic | multi-step tool-using tasks | 3.7 |
- Model ID
- inclusionai/ling-2.6-flash
- Vendor
- inclusionai
- Released
- April 2026
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 32,768 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.01/M input and $0.03/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 | under $0.01 |
| A month of a busy support chatbot | 5M in / 2M out | $0.11 |
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Quick answers
- How much does inclusionAI: Ling-2.6-flash cost?
- $0.01 per million input tokens and $0.03 per million output tokens.
- What is inclusionAI: Ling-2.6-flash's context window?
- 262,144 tokens, roughly 393 pages of text in a single request.
- Does inclusionAI: Ling-2.6-flash support tool calling?
- It supports tool calling, structured output.
- Can inclusionAI: Ling-2.6-flash process images?
- No, it is text-only on the input side.