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Ling 3.0 Tiny

Ling 3.0 Tiny is an Ant Group open-weights reasoning model, released 6 Aug 2026. Its best configuration ranks #419 of 785 on the BenchLeader Index at 48.7 ±4.9, in the lower half. The ± is the point: 330 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (55) and lowest in reasoning (41). Output speed of 57 tokens per second puts it slower than most, with a first answer in 37.8 s. Last measured 6 Aug 2026.

Blended price
–
Output speed
57 tok/s
measured by Artificial Analysis
First answer
38 s
Context
262k
Full answer
47 s
median, reasoning included
Cost per run
–
Released
6 Aug 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index49
  2. Reasoning41
  3. Agents & tools49
  4. Knowledge53
  5. Long context55
  6. Composite42

How its index has moved

19 Sept 2026 to 18 Oct 2026
444955

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarknot statedSourceTrend
GPQA Diamond (AA)not in index73.4%#267Artificial Analysis
Humanity's Last Exam (AA)not in index9.3%#337Artificial Analysis
CritPt0.0%#315Artificial Analysis

Coding

Benchmarknot statedSourceTrend
SciCode (AA)not in index24.2%#221Artificial Analysis
Terminal-Bench 4.0 (AA)not in index0.0%#152Artificial Analysis
Terminal-Bench 2.1 (AA)not in index27.7%#161Artificial Analysis

Agents & tools

Benchmarknot statedSourceTrend
GDPval-AA v2.1not in index3.0%#119Artificial Analysis
τ³-Banking (AA)20.8%#94Artificial Analysis
AutomationBenchnot in index0.3%#214Artificial Analysis
GDP.pdf (AA)not in index0.8%#210Artificial Analysis

Knowledge

Long context

Benchmarknot statedSourceTrend
AA-LCR60.3%#279Artificial Analysis
MLCRnot in index10.0%#113Artificial Analysis

Composite

Benchmarknot statedSourceTrend
AA Intelligence Index v4.3.211.1#365Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300––43.1 s
Summarize a 30-page report12,000 / 600––48.4 s
Code edit6,000 / 1,500––1.1 min
Agentic coding session60,000 / 4,000––1.8 min
Structured extraction2,000 / 200––41.3 s

More from Ant Group

New this month

See also

Questions people ask

What are Ling 3.0 Tiny's benchmark scores?
As of 24 Oct 2026, Ling 3.0 Tiny scores 48.7 ±4.9 on the BenchLeader Index, strongest in long context (55) and weakest in reasoning (41). That rests on 5 independent benchmark results, and every score on this page links to its publisher.
How does Ling 3.0 Tiny rank?
Ling 3.0 Tiny is #419 of 785 ranked configurations on 24 Oct 2026. 330 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
When was Ling 3.0 Tiny released?
Ant Group released Ling 3.0 Tiny on 6 Aug 2026.

Data as of 24 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Ling 3.0 Tiny: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/ling-3-0-tiny.