Model comparison

Qwen3 235B-A22B vs Ring-2.6-1T

Qwen3 235B-A22B has enough public results to be ranked (#83); Ring-2.6-1T does not yet, so treat this comparison as directional.

Last verified . 2 shared benchmarks.

Qwen3 235B-A22B Alibaba (Qwen)

43.2

Rank #83 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Qwen3 235B-A22B scores higher in 1 category and Ring-2.6-1T in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Ring-2.6-1T leads 25.3 to 15.8.

Side by side

Qwen3 235B-A22B and Ring-2.6-1T specifications
Qwen3 235B-A22BRing-2.6-1T
ProviderAlibaba (Qwen)Ant Group (inclusionAI)
Noometry Index43.236.3
Released2025-042026-05-14
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$0.70—
Output $ / M tokens$2.80—
Results tracked493

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Category by category

Coding Qwen3 235B-A22B leads

Qwen3 235B-A22B: 43.8 (#72), Ring-2.6-1T: 40.1

Coding benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
SciCode42.4%42.4%
Aider Polyglot59.6%—
WeirdML41%—
LMArena Coding1445—
ALE-Bench—432.57

Agentic & Tool Use Not comparable

Qwen3 235B-A22B: 33.7 (#48), Ring-2.6-1T: —

Agentic & Tool Use benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
Berkeley Function Calling Leaderboard52.1%—
Vending-Bench 2-11.34—

Reasoning Ring-2.6-1T leads

Qwen3 235B-A22B: 15.8 (#302), Ring-2.6-1T: 25.3

Reasoning benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
CritPt0%3.7%
ARC-AGI-21.3%—
SimpleBench31%—
Kagi LLM Benchmark69.4%—
ARC-AGI-111%—
Chess Puzzles12%—
LMArena Hard Prompts1433—
Mystery Game Puzzles9%—
DTBench80.3%—
LMCA29.3%—
Epoch Capabilities Index143.87—
ForecastBench59.7—

Math Not comparable

Qwen3 235B-A22B: 48.5 (#51), Ring-2.6-1T: —

Math benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
OTIS Mock AIME 2024-202586.7%—
Omni-MATH71.8%—
LMArena Math1431—
MATH Level 568.9%—
FrontierMath (Feb 2025 set)8.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge Not comparable

Qwen3 235B-A22B: 49.5 (#67), Ring-2.6-1T: —

Knowledge benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
GPQA Diamond80.1%—
SimpleQA Verified40.4%—
MMLU-Pro84.4%—
Confabulations15.6%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)72.7%—
LMArena Expert1460—

Multilingual Not comparable

Qwen3 235B-A22B: 52.5 (#84), Ring-2.6-1T: —

Multilingual benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
LMArena Non-English1410—
LMArena Chinese1481—
LMArena French1445—
LMArena German1432—
LMArena Japanese1400—
LMArena Korean1391—
LMArena Russian1411—
LMArena Spanish1429—

Instruction Following Not comparable

Qwen3 235B-A22B: 72.8 (#132), Ring-2.6-1T: —

Instruction Following benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
IFEval83.5%—
LMArena Instruction Following1408—

Long Context Not comparable

Qwen3 235B-A22B: 46.1 (#25), Ring-2.6-1T: —

Long Context benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
Fiction.LiveBench75%—
LMArena Longer Query1426—

Writing & Preference Not comparable

Qwen3 235B-A22B: 59.8 (#103), Ring-2.6-1T: —

Writing & Preference benchmarks
BenchmarkQwen3 235B-A22BRing-2.6-1T
LMArena Text1419—
LMArena Creative Writing1384—
Short-Story Creative Writing83%—
EQ-Bench Creative Writing1366—
WildBench86.6%—
LMArena Multi-Turn1432—

Frequently asked questions

Is Qwen3 235B-A22B better than Ring-2.6-1T?

Qwen3 235B-A22B has enough public results to be ranked (#83); Ring-2.6-1T does not yet, so treat this comparison as directional.

Is Qwen3 235B-A22B or Ring-2.6-1T better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 43.8 versus 40.1 in the Noometry coding category.

How many benchmarks do Qwen3 235B-A22B and Ring-2.6-1T share?

2 benchmarks have published results for both models. Qwen3 235B-A22B has 49 scored results on Noometry and Ring-2.6-1T has 3.

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