OpenRouter Models API
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Ling-2.6-flash
Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency.…
- Context
- 262K
- Max output
- 33K
- Input
- $0.01
- Output
- $0.03
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-flash Provider pricing
Provider endpoint: inclusionai/ling-2.6-flash
- Input
- $0.01 per 1M tokens
- Output
- $0.03 per 1M tokens
- Cached input
- $0.002 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-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency.…
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.