[whatmodel.sh](../../README.md) / Ring-2.6-1T # Ring-2.6-1T inclusionAI (Ant Group) · released 2026-05 · 1025B params (63B active) · mit **score 68.2** ±1.5 · comparison only: no current run option verified · from 13 benchmark results across 1 source · † no independently run results verified Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at _{● marks Ring-2.6-1T among every model on that task or test, worst to best.}

task         vs the others     rank  counts  tests
agent tasks  ●··········█   #2 of 2     27%      3
coding       ●··········█   #2 of 2     27%      3
math         ●··········█   #2 of 2     32%      3

agent tasks · #2 of 2 · 27% of its score

test                                result  vs the others in its run   difficulty            counts  why
SWE-bench Pro (split unspecified)…   53.9%  ▂·▁▁▁▁▂▃●▇▂▁ beats 31/58   very hard · avg 9.1%     15%  sharp · at its level · small run
SWE-bench Multilingual (maker)       56.7%  ▁··▁▃▁●██▂▂▁ beats 18/65   hard · avg 24%          7.5%  at its level · small run
BFCL V4 (December 2025 archive) (…   64.8%  ▁▁▁▂▆▆▅▆█▂●▃ beats 97/114  medium · avg 38%        4.7%  at its level · small run

coding · #2 of 2 · 27% of its score

test                                result  vs the others in its run  difficulty            counts  why
SWE-bench Pro (split unspecified)…   53.9%  ▂·▁▁▁▁▂▃●▇▂▁ beats 31/58  very hard · avg 9.1%     15%  sharp · at its level · small run
SWE-bench Multilingual (maker)       56.7%  ▁··▁▃▁●██▂▂▁ beats 18/65  hard · avg 24%          7.5%  at its level · small run
LiveCodeBench 2024-08–2025-05 (ve…   87.0%  ▃···█··▅··▃● beats 7/7    medium · avg 51%        5.4%  small run

math · #2 of 2 · 32% of its score

test                        result  vs the others in its run  difficulty        counts  why
AIME 2026 (maker)            95.8%  ▁▁▁▂▂▂▆█●▂·▁ beats 46/52  medium · avg 60%     12%  sharp · maxed out · small run
IMO-AnswerBench (maker)      86.1%  ▁▁·▁▁▁▄▆█●▂▃ beats 36/44  medium · avg 40%     11%  small run
HMMT February 2026 (maker)   93.5%  ▃▃▂▅·████▅▃● beats 33/35  medium · avg 42%     10%  sharp · small run

other tests (7)

test                                result  vs the others in its run   difficulty            counts  why
Humanity's Last Exam (maker)         18.3%  ▁▁▁▄▆▆●██▆▁▃ beats 50/111  very hard · avg 4.0%    9.2%  small run
SkillsBench 87-task subset (maker)   11.9%  ●··▄▄▄···█·█ beats 0/7     very hard · avg 9.1%    6.9%  at its level
WideSearch corrected dataset (mak…   62.2%  ▃······▃●▃█▃ beats 2/7     hard · avg 22%          6.8%  at its level · noisy
SysBench (aggregation unspecified…   86.5%  █··█····●··█ beats 2/3     medium · avg 64%        4.3%  small run
Multi-IF (aggregation unspecified…   89.3%  ▁▁▁▁▁▁▃▄█▄▁● beats 41/41   easy · avg 66%          4.0%  small run
IFBench (aggregation unspecified)…   44.6%  ▂▆▂▄▄●▂▄▄▆█▇ beats 31/86   hard · avg 33%          3.3%  at its level · noisy · small run
MCP-Atlas v1 public500 (maker)       61.2%  ●··········█ beats 0/1                                —  not counted yet: no other model in the …

## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its *counts* column above; here it is added up by who ran the tests. [Method](../method.md)

source                                    results  share of the score
inclusionAI/Ling-3.0-flash model card (…       13   99% ▇▇▇▇▇▇▇▇▇▇▇▇
prior: pull toward the middle                        1% ▇
weighted average                                   = 68.2

_{Licences: inclusionAI/Ling-3.0-flash model card ([MIT](../../licenses/cards-final-NOTICE.txt))}

Not counted (1)

source                  test                    score  why
inclusionAI/Ling-3.0-…  MCP-Atlas v1 public500  61.2%  too few models have it yet

## How to run it No verified API or local download yet. Model repository and documentation: [huggingface.co/inclusionAI](https://huggingface.co/inclusionAI/Ring-2.6-1T) [interactive version](https://whatmodel.sh/model/ring-2-6-1t) · [JSON](https://whatmodel.sh/api?format=json&all=1)