*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers…
| Plan | Price | Description |
|---|---|---|
| Free Plan | Free | Provides free access to Ling-3.0-Flash API usage, suitable for model testing, AI Agent prototypes, application development, and experimentation. |
| Paid Plan (API Usage) | Currently Free | Suitable for integrating Ling-3.0-Flash into AI assistants, Agent platforms, automation systems, and enterprise applications. |
| Enterprise Plan | Custom Pricing | Provides enterprise AI solutions including large-scale deployment, system integration, security management, and technical support. |
Fast Inference Performance: Optimized for low latency and efficient token generation.
AI Agent Capabilities: Supports tool calling, multi-step execution, and automated workflows.
MoE Architecture: Uses sparse expert routing to improve efficiency and reduce computing costs.
Long-Context Understanding: Supports up to 262K tokens for large-scale information processing.
Coding Assistance: Helps with code generation, debugging, and software development workflows.
High-Throughput Applications: Designed for scalable AI services and production environments.
① AI Agent developers
② Software engineers
③ AI application developers
④ Enterprise technology teams
⑤ Automation system developers
⑥ Users seeking cost-efficient AI inference solutions
| Model | Context | Pricing | API | Released | Global Heat |
|---|---|---|---|---|---|
|
Ling-3.0-flash (free)
|
262K | 免费 | YES | 2026-07 | — |
| 262K | $0.075 / $0.625 per 1M | NO | 2026-05 |
47/100
|
|
| 262K | $0.010 / $0.030 per 1M | YES | 2026-04 |
5/100
|
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