InclusionAI
UnrankedEnough results for an index.Ling 3.0 Tiny
Ling 3.0 Tiny is a reasoning model from InclusionAI in the Ling 3.0 family. It has 7 scored results in 4 categories. It has no index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.70%
SpeedOutput tokens per second.124/sMedian 67/s
First tokenSeconds to the first output token.0.4 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.015Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.045Median $2.55
ContextMaximum tokens in one request.262KMedian 262K
EloLMArena rating and rank.—Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
inclusionai/ling-3.0-tiny- Max outputMaximum output tokens per request.
- 250K
- Knowledge cutoffLast date of training data.
- —
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- Yes
- Cache read / 1MUS dollars per 1M cached tokens.
- <$0.01
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- —
Capabilities
Index per category, out of 100.Results
7 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseHistory
5 releases11 Nov 202612 Nov 2026
Questions
- How much does Ling 3.0 Tiny cost?
- $0.015 per 1M input tokens, $0.045 per 1M output tokens.
- How fast is Ling 3.0 Tiny?
- 124 output tokens per second, 0.4 s to the first token.
- What is the context window of Ling 3.0 Tiny?
- 262K tokens.
- Is Ling 3.0 Tiny open source?
- Yes. Its weights are published.
- When was Ling 3.0 Tiny released?
- August 2026.