Model comparison
GLM-4.6 vs o1-mini
GLM-4.6 is the stronger model overall, scoring 41.4 to 34.0 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-4.6 scores higher in 9 categories and o1-mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6 leads 23.7 to 8.8.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6 | o1-mini | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 41.4 | 34.0 |
| Released | 2025-09-30 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 29 | 39 |
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Category by category
Coding GLM-4.6 leads
GLM-4.6: 40.1 (#148), o1-mini: 35.5 (#224)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Coding | 1449 | 1362 |
| SWE-bench Verified (bash only) | 55.4% | — |
| Aider Polyglot | — | 32.9% |
| LMArena WebDev | 1340 | — |
| SciCode | 38.4% | — |
| WeirdML | — | 36.3% |
| LiveBench Coding | — | 48% |
| ALE-Bench | 340.82 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use GLM-4.6 leads
GLM-4.6: 32.3 (#66), o1-mini: 24.6 (#118)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
| Cybench | — | 10% |
Reasoning GLM-4.6 leads
GLM-4.6: 23.7 (#172), o1-mini: 8.8 (#346)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1333 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| Kagi LLM Benchmark | 47.4% | — |
| ARC-AGI-1 | — | 14% |
| CritPt | 1.1% | — |
| LiveBench Reasoning | — | 72.3% |
| LiveBench Data Analysis | — | 57.9% |
| Epoch Capabilities Index | — | 135.82 |
| LiveBench | — | 57.8% |
Math GLM-4.6 leads
GLM-4.6: 39.1 (#111), o1-mini: 35.4 (#186)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Math | 1432 | 1358 |
| FrontierMath (Feb 2025 set) | 3.8% | 1.7% |
| OTIS Mock AIME 2024-2025 | — | 46.9% |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-4.6 leads
GLM-4.6: 40.2 (#124), o1-mini: 34.9 (#192)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Expert | 1431 | 1316 |
| GPQA Diamond | — | 62.4% |
| Confabulations | — | 18.6% |
| Vectara Hallucination Rate | 9.5% | — |
Multilingual GLM-4.6 leads
GLM-4.6: 53.5 (#66), o1-mini: 43.6 (#182)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Non-English | 1426 | 1289 |
| LMArena Chinese | 1499 | 1314 |
| LMArena French | 1459 | 1293 |
| LMArena German | 1447 | 1278 |
| LMArena Japanese | 1393 | 1245 |
| LMArena Korean | 1400 | 1223 |
| LMArena Russian | 1419 | 1283 |
| LMArena Spanish | 1436 | 1303 |
Instruction Following GLM-4.6 leads
GLM-4.6: 74.3 (#98), o1-mini: 66.7 (#206)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1410 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context GLM-4.6 leads
GLM-4.6: 43.4 (#94), o1-mini: 40.1 (#161)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Longer Query | 1422 | 1320 |
Writing & Preference GLM-4.6 leads
GLM-4.6: 61.1 (#90), o1-mini: 48.4 (#202)
| Benchmark | GLM-4.6 | o1-mini |
|---|---|---|
| LMArena Text | 1440 | 1317 |
| LMArena Creative Writing | 1411 | 1244 |
| LMArena Multi-Turn | 1427 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| EQ-Bench Creative Writing | 1411 | — |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is GLM-4.6 better than o1-mini?
GLM-4.6 is the stronger model overall, scoring 41.4 to 34.0 on the Noometry Index.
Is GLM-4.6 or o1-mini better for coding?
GLM-4.6 scores higher on coding benchmarks: 40.1 versus 35.5 in the Noometry coding category.
How many benchmarks do GLM-4.6 and o1-mini share?
18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and o1-mini has 39.