inclusionAI: Ling-2.6-flash
inclusionAI: Ling-2.6-flash is designed to handle text inputs within a vast context length of 262,144 tokens and supports interaction through tools; however, it lacks support for reasoning or structured output. This model’s capabilities are focused on general text processing tasks without the ability to engage in complex logical reasoning. The model stands as a viable option for those seeking a tool that can manage extensive text inputs efficiently; its blended benchmark score of 21.5 places it at a middle ground across various performance metrics, making it suitable for users who are price-sensitive with a budget of $0.01 per million input tokens and $0.03 per million output tokens.
Benchmark results
Independent, published benchmarks. Blended score 21.5 across 3 benchmarks, last refreshed 2026-07-29. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 23.2 |
| 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.