inclusionAI: Ling-2.6-1T
InclusionAI's Ling-2.6-1T is designed for handling text inputs with a context length of 262,144 tokens and can generate up to 32,768 completion tokens. This model supports integration tools but lacks reasoning capabilities or structured output formats. For users looking for a reliable tool at a competitive price point, Ling-2.6-1T is worth considering, especially if budget constraints are significant. With a blended benchmark score of 42.0 across one independent evaluation and pricing at $0.075 per million input tokens and $0.625 per million output tokens, it offers a balanced approach that may meet the needs of various applications without breaking the bank.
Benchmark results
Independent, published benchmarks. Blended score 42.0 across 1 benchmark, last refreshed 2026-08-05. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 43.0 |
- 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.