Model comparison
Qwen3 32B vs Ring-2.6-1T
Qwen3 32B has enough public results to be ranked (#166); Ring-2.6-1T does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)
Ant Group (inclusionAI)Summary
- They share 2 benchmarks with published results for both. Qwen3 32B scores higher in 0 categories and Ring-2.6-1T in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Ring-2.6-1T leads 25.3 to 19.6.
- The biggest single-benchmark swing is SciCode: 35.4% for Qwen3 32B and 42.4% for Ring-2.6-1T.
Side by side
| Qwen3 32B | Ring-2.6-1T | |
|---|---|---|
| Provider | Alibaba (Qwen) | Ant Group (inclusionAI) |
| Noometry Index | 38.8 | 36.3 |
| Released | 2025-04 | 2026-05-14 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $2.80 | — |
| Results tracked | 26 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Ring-2.6-1T leads
Qwen3 32B: 37.3 (#184), Ring-2.6-1T: 40.1
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| SciCode | 35.4% | 42.4% |
| Aider Polyglot | 40% | — |
| LMArena Coding | 1358 | — |
| ALE-Bench | — | 432.57 |
Agentic & Tool Use Not comparable
Qwen3 32B: 32.3 (#58), Ring-2.6-1T: —
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| Berkeley Function Calling Leaderboard | 48.7% | — |
Reasoning Ring-2.6-1T leads
Qwen3 32B: 19.6 (#233), Ring-2.6-1T: 25.3
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| CritPt | 0.3% | 3.7% |
| Kagi LLM Benchmark | 54.9% | — |
| Chess Puzzles | 5% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 67.5% | — |
| LMCA | 17.3% | — |
| Epoch Capabilities Index | 138.51 | — |
Math Not comparable
Qwen3 32B: 37.9 (#89), Ring-2.6-1T: —
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.9% | — |
| LMArena Math | 1399 | — |
Knowledge Not comparable
Qwen3 32B: 40.0 (#112), Ring-2.6-1T: —
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| GPQA Diamond | 65.7% | — |
| Vectara Hallucination Rate | 5.9% | — |
| LMArena Expert | 1362 | — |
Multilingual Not comparable
Qwen3 32B: 45.8 (#162), Ring-2.6-1T: —
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| LMArena Non-English | 1317 | — |
| LMArena Chinese | 1357 | — |
| LMArena German | 1341 | — |
| LMArena Russian | 1311 | — |
Instruction Following Not comparable
Qwen3 32B: 69.1 (#174), Ring-2.6-1T: —
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| LMArena Instruction Following | 1305 | — |
Long Context Not comparable
Qwen3 32B: 43.7 (#83), Ring-2.6-1T: —
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| Fiction.LiveBench | 74.2% | — |
| LMArena Longer Query | 1327 | — |
Writing & Preference Not comparable
Qwen3 32B: 53.1 (#158), Ring-2.6-1T: —
| Benchmark | Qwen3 32B | Ring-2.6-1T |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1297 | — |
| LMArena Multi-Turn | 1331 | — |
Frequently asked questions
Is Qwen3 32B better than Ring-2.6-1T?
Qwen3 32B has enough public results to be ranked (#166); Ring-2.6-1T does not yet, so treat this comparison as directional.
Is Qwen3 32B or Ring-2.6-1T better for coding?
Ring-2.6-1T scores higher on coding benchmarks: 40.1 versus 37.3 in the Noometry coding category.
How many benchmarks do Qwen3 32B and Ring-2.6-1T share?
2 benchmarks have published results for both models. Qwen3 32B has 26 scored results on Noometry and Ring-2.6-1T has 3.