LLMs TigerLive LLM benchmarks

Ring-2.6-1T: benchmark scores, price and ranking

Ring-2.6-1T from inclusionAI ranks #366 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.3), based on 4 benchmark results captured up to 2026-10-13.

Organisation
inclusionAI
Type
Open-weight / local model
Open weights
Yes
Released
2026-05-14 (source: epoch)
Aggregate rank
#366 of 743 (score 48.3)

Relative to other models, Ring-2.6-1T is strongest on GPQA Diamond (#48 of 275) and weakest on ALE-Bench (#62 of 79).

Across the 4 benchmarks where at least ten models are scored, Ring-2.6-1T is in the top 10% on 0 and in the top half on 2.

Ring-2.6-1T benchmark results

Ring-2.6-1T benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
GPQA Diamond88.3%#48 of 275HuggingFace GPQA Diamond leaderboard2026-10-13
CritPt3.7%#53 of 115Epoch AI Benchmarking Hub2026-10-13
SciCode42.4%#58 of 106Epoch AI Benchmarking Hub2026-10-13
ALE-Bench433#62 of 79Epoch AI Benchmarking Hub2026-10-13

About Ring-2.6-1T

Ring-2.6-1T is an open-weight model that can run on your own hardware from inclusionAI. It was released on 2026-05-14, according to Epoch AI. No API price is listed for it yet. We hold 4 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where Ring-2.6-1T stands

On our aggregate score, Ring-2.6-1T is #366 of 743 ranked models, around the middle of the table. Its score is 48.3; the scale is centred on 50, so it sits 1.7 points below the typical model. That beats 51% of the ranked field.

Ring-2.6-1T, benchmark by benchmark

GPQA Diamond puts Ring-2.6-1T at 88.3%, #48 of 275. That beats 83% of the models tested, but 7.5 points short of GPT-6 Astra (max) (95.8%). The results either side are Qwen 3.6 Plus (2026-04-02) (88.4%) and Inkling (xhigh) (88.3%). It covers expert-level science questions. The board median is 71.7%, so Ring-2.6-1T is 16.6 points above it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.

On CritPt, Ring-2.6-1T reaches 3.7%. It ranks #53 of 115, ahead of 54% of the field, and 28.6 points behind GPT-5.6 Sol (max) at 32.3%. The results either side are MiniMax-M3 (3.7%) and Claude Sonnet 4.6 (max) (3.1%). It covers unpublished research-level physics problems. The board median is 2.9%, so Ring-2.6-1T is 0.9 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Ring-2.6-1T lands below the middle on SciCode: 42.4%, #58 of 106, with 54% of the field scoring higher. Claude Opus 5.5 (max) leads at 66.9%; the closest result above is Qwen3-235B-A22B-Thinking-2507 at 42.4%. It covers scientific research code. The board median is 44.3%, so Ring-2.6-1T is 2.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Ring-2.6-1T lands below the middle on ALE-Bench: 433, #62 of 79, with 77% of the field scoring higher. GPT-6 Astra (max) leads at 2,951; the closest result above is qwen3-coder-plus at 456. It covers AtCoder heuristic-optimisation contests (performance rating). The board median is 764, so Ring-2.6-1T is 331 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Software engineering: uneven, ahead of 33% of the field on average across 2 benchmarks. Its best board here is SciCode (#58 of 106) and its weakest is ALE-Bench (#62 of 79). Reasoning, maths and science: solid, ahead of 68% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#48 of 275) and its weakest is CritPt (#53 of 115).

Reading these numbers

The 4 scores on this page come from 2 sources: Epoch AI Benchmarking Hub (3), HuggingFace GPQA Diamond leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 4 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

Compare it on the live leaderboard → · How the aggregate score works