Ling 3.0 Tiny Intelligence, Performance & Price Analysis
Model summary
Ling 3.0 Tiny is above average in intelligence and well priced when comparing to other open weight models of similar size. It's also notably slow and very verbose. The model supports text input, outputs text, and has a 262k tokens context window.
Ling 3.0 Tiny scores 11 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 8). When evaluating the Intelligence Index, it generated 230M tokens, which is very verbose in comparison to the median of 82M.
Pricing for Ling 3.0 Tiny is $0.00 per 1M input tokens (competitively priced, median: $0.12) and $0.00 per 1M output tokens (competitively priced, median: $0.30). On average, it costs $0.00 per task to evaluate Ling 3.0 Tiny on the Intelligence Index.
At 31 tokens per second, Ling 3.0 Tiny is notably slow (81).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 262k ~393 A4 pages of size 12 Arial font |
| Total parameters | 7.9B |
| Active parameters | 1.3B Number of parameters active per token during inference |
| License | MIT |
| Model weights | Hugging Face |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Task
Measures the performance of models on specific capabilities and industries
Artificial Analysis Finance & Accounting Index
Evaluations
Agentic knowledge work, (Elo-500)/2000
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic real-world work tasks, (Elo-500)/2000
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
Coding
Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Agentic interactive 3D experiences, (Elo-500)/2000
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual reasoning
AA-Briefcase v1.1Updated
AA-Briefcase Elo
AA-Omniscience
AA-Omniscience Index
Openness Index
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons
Intelligence Index vs. Cost per Task
Token Use
Output Tokens per Intelligence Index Task
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Speed
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Ling 3.0 Tiny
Ling 3.0 Tiny was released on August 6, 2026.
Ling 3.0 Tiny was created by InclusionAI.
Ling 3.0 Tiny scores 11 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 8).
Ling 3.0 Tiny generates output at 30.5 tokens per second (based on the median across providers serving the model), which is at the lower end compared to other open weight models of similar size (median: 80.7 t/s).
Ling 3.0 Tiny has a time to first token (TTFT) of 3.30s (based on the median across providers serving the model), which is at the higher end compared to other open weight models of similar size (median: 1.19s).
Ling 3.0 Tiny costs $0.00 per 1M input tokens (very competitive, median: $0.12) and $0.00 per 1M output tokens (very competitive, median: $0.30), based on the median across providers serving the model.
Ling 3.0 Tiny costs $0.00 per 1M input tokens and $0.00 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.00 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Ling 3.0 Tiny generated 230M output tokens, which is at the higher end compared to other open weight models of similar size (median: 82M).
Yes, Ling 3.0 Tiny is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Ling 3.0 Tiny supports text input.
Ling 3.0 Tiny supports text output.
No, Ling 3.0 Tiny does not support image input. It can only process text.
No, Ling 3.0 Tiny is not multimodal. It only supports text input.
Ling 3.0 Tiny has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Ling 3.0 Tiny is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Ling 3.0 Tiny has 7.9 billion parameters (1.3 billion active).
Ling 3.0 Tiny is a Mixture of Experts (MoE) model with 7.9 billion total parameters, but only 1.3 billion active parameters are used during inference.
Ling 3.0 Tiny is released under the MIT license. This license allows commercial use. View license
Ling 3.0 Tiny achieves a score of 11 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Ling 3.0 Tiny is available via API through 1 provider. Compare API providers
Ling 3.0 Tiny is available through 1 API provider. Compare providers