InclusionAI
ling-3.0-tiny
Ling-3.0-tiny is an efficient 7.9B parameter MoE model from inclusionAI with only 1.3B active parameters per token. Built for responsive agents, reliable instruction following and multi turn conversation, with a 256K context window, native function calling, prompt caching and switchable Thinking and Instant modes.
Model facts
- Context window
- 262K tokens
- Maximum output
- 33K tokens
- Cheapest paid input
- free per 1M tokens
- Cheapest paid output
- free per 1M tokens
- Open weights
- no
- Providers
- 1
Capabilities and modalities
reasoning, tool calling, text.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| default | 24.5 | 26.5 | not measured | 206.2 |
Observed price history
- 2026-08-24: free input / free output per 1M tokens
API providers
- Requesty — model id ling-3.0-tiny; free input / free output per 1M tokens; provider documentation