Ling 3.0 Tiny API Benchmarks, Pricing & Provider Data
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Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, ...
Category Performance
Observed-capability estimates with uncertainty reported separately from independent benchmark families.
- Coverage
- 2 / 8
- Methodology
- V3.0
#1Reasoning48.3Provisional1/4 Measured dimensions
#2Coding40.2Provisional1/4 Measured dimensions
Specifications
Input and output token limits for this model, plus how it ranks on long-context understanding.
Features
Technical Details
- Input
- Output
- Released
- Aug 2026
- Tokenizer
- Other
- Architecture
- text->text
- Moderated
- No
- Expiration date
- 2026-08-13
- Supported parameters
- frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
Rankings
Excels at
Detailed scores
Updated: Aug 24, 2026Speed & latency
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Output speed199.7 tok/s#11 / 74Time to first token2.09 s#55 / 74
Speed & latency
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Agents
V3.0undefined metric} other undefined metrics}} · No data
No data80% interval30.8–69.20/4 Measured dimensions
Agents
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Coding
V3.0undefined metric} other undefined metrics}} · Provisional
Score40.280% interval24.2–56.21/4 Measured dimensionsSciCode24.2%#180 / 204
Coding
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Reasoning
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Score48.380% interval34.4–62.31/4 Measured dimensionsGPQA73.4%#127 / 211HLE9.3%#121 / 208
Reasoning
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Knowledge
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No data80% interval30.8–69.20/4 Measured dimensions
Knowledge
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Math
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No data80% interval30.8–69.20/4 Measured dimensions
Math
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Multilingual
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No data80% interval30.8–69.20/4 Measured dimensions
Multilingual
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Multimodal
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No data80% interval30.8–69.20/4 Measured dimensions
Multimodal
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Instruction following
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No data80% interval30.8–69.20/4 Measured dimensions
Instruction following
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