inclusionAI: Ling-2.6-1T
InclusionAI's Ling-2.6-1T is designed to process large text inputs with a context length of 262,144 tokens and supports tool integration for enhanced functionality. However, it does not support reasoning or structured output, making it less suitable for tasks requiring complex logical processing. With a blended benchmark score of 42.9 across one independent benchmark, Ling-2.6-1T offers robust text handling capabilities. At a price point of $0.075 per million input tokens and $0.625 per million output tokens, it is cost-effective for projects that require substantial text processing but do not necessitate advanced reasoning or structured outputs.
Benchmark results
Independent, published benchmarks. Blended score 42.9 across 1 benchmark, last refreshed 2026-08-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 43.8 |
- Model ID
- inclusionai/ling-2.6-1t
- 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 $0.07/M input and $0.62/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 | $0.07 |
| A month of a busy support chatbot | 5M in / 2M out | $1.62 |
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Quick answers
- How much does inclusionAI: Ling-2.6-1T cost?
- $0.07 per million input tokens and $0.62 per million output tokens.
- What is inclusionAI: Ling-2.6-1T's context window?
- 262,144 tokens, roughly 393 pages of text in a single request.
- Does inclusionAI: Ling-2.6-1T support tool calling?
- It supports tool calling, structured output.
- Can inclusionAI: Ling-2.6-1T process images?
- No, it is text-only on the input side.