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Ling-2.6-flash
inclusionAI · Released Apr 2026
Ling-2.6-flash is a 104B parameter model from inclusionAI with 7.4B active parameters, designed for fast inference and efficient token usage in agent applications.
- Strengths
- The sparse architecture and selective activation provide fast response times and reduced computational overhead compared to dense models of similar scale.
- Best for
- Real-time agent systems and applications where low latency and token efficiency are priorities.
- Limitations
- With only 7.4B active parameters, it may struggle with complex reasoning tasks or specialized domains that benefit from larger model capacity.
Input / 1M
$0.01
Output / 1M
$0.03
Cached input / 1M
$0.002
Context window
262K
Price history
Snapshots
| Effective | Input | Output | Cached in | Note | Source |
|---|---|---|---|---|---|
| 11 Jun 2026 | $0.01 | $0.03 | $0.002 | Imported from OpenRouter | openrouter.ai |