OpenRouter Models API
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Ling-2.6-1T
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast…
- Context
- 262K
- Max output
- 33K
- Input
- $0.075
- Output
- $0.625
Recommended use cases
Strengths in this dataset
- 262,144-token context window
- text input
- 15 supported API parameters listed
Limits and caveats
- Provider behavior and pricing can change; verify the linked sources before production use.
Capability
Model-native facts
Model- Reasoning
- Unknown
- Open weights
- Unknown
Provider endpoint facts
Provider endpoint- Tool calling
- Supported
- Structured output
- Supported
- Streaming
- Unknown
- Prompt cache
- Supported
- Batch
- Unknown
- Fine-tuning
- Unknown
Ling-2.6-1T Provider pricing
Provider endpoint: inclusionai/ling-2.6-1t
- Input
- $0.075 per 1M tokens
- Output
- $0.625 per 1M tokens
- Cached input
- $0.015 per 1M tokens
- Image output
- Unknown per 1M tokens
Sources and verification
Frequently asked questions
Answers are generated from the same sourced model and provider facts shown above.
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast…
Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.