Model comparison
GLM-4.5 vs Ring-2.6-1T
GLM-4.5 has enough public results to be ranked (#122); Ring-2.6-1T does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Ant Group (inclusionAI)Summary
- They share 1 benchmark with published results for both. GLM-4.5 scores higher in 2 categories and Ring-2.6-1T in 0 categories; one gap is clear of the uncertainty.
Side by side
| GLM-4.5 | Ring-2.6-1T | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Ant Group (inclusionAI) |
| Noometry Index | 42.0 | 36.9 |
| Released | 2025-07-27 | 2026-05-14 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 3 |
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Category by category
Coding Too close to call
GLM-4.5: 41.4 (#125), Ring-2.6-1T: 40.7
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| ALE-Bench | 344.82 | 432.57 |
| SWE-bench Verified (bash only) | 54.2% | — |
| SciCode | — | 42.4% |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Ring-2.6-1T: 26.1
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 3.7% |
| LMArena Hard Prompts | 1429 | — |
Math Not comparable
GLM-4.5: 39.0 (#116), Ring-2.6-1T: —
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge Not comparable
GLM-4.5: 35.9 (#179), Ring-2.6-1T: —
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |
Multilingual Not comparable
GLM-4.5: 52.8 (#77), Ring-2.6-1T: —
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |
Instruction Following Not comparable
GLM-4.5: 74.1 (#104), Ring-2.6-1T: —
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GLM-4.5: 38.2 (#201), Ring-2.6-1T: —
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1412 | — |
Writing & Preference Not comparable
GLM-4.5: 57.5 (#127), Ring-2.6-1T: —
| Benchmark | GLM-4.5 | Ring-2.6-1T |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1415 | — |
Frequently asked questions
Is GLM-4.5 better than Ring-2.6-1T?
GLM-4.5 has enough public results to be ranked (#122); Ring-2.6-1T does not yet, so treat this comparison as directional.
Is GLM-4.5 or Ring-2.6-1T better for coding?
They score almost the same on coding (41.4 vs 40.7); test both on your own repository before choosing.
How many benchmarks do GLM-4.5 and Ring-2.6-1T share?
1 benchmark has published results for both models. GLM-4.5 has 27 scored results on Noometry and Ring-2.6-1T has 3.