Model comparison
GLM-5 vs o1-mini
GLM-5 is the stronger model overall, scoring 46.1 to 34.0 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. GLM-5 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-5 leads 27.6 to 8.8.
- The biggest single-benchmark swing is SimpleBench: 53.2% for GLM-5 and 18.1% for o1-mini.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| GLM-5 | o1-mini | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 46.1 | 34.0 |
| Released | 2026-02-11 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 45 | 39 |
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Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), o1-mini: 35.5 (#224)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| WeirdML | 48.2% | 36.3% |
| LMArena Coding | 1461 | 1362 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| Aider Polyglot | — | 32.9% |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| LiveBench Coding | — | 48% |
| ALE-Bench | 765.62 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use GLM-5 leads
GLM-5: 31.1 (#71), o1-mini: 24.6 (#118)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Cybench | — | 10% |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#116), o1-mini: 8.8 (#346)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| ARC-AGI-2 | 4.9% | 0.8% |
| SimpleBench | 53.2% | 18.1% |
| ARC-AGI-1 | 44.7% | 14% |
| LMArena Hard Prompts | 1452 | 1333 |
| Epoch Capabilities Index | 145.83 | 135.82 |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| Chess Puzzles | 10% | — |
| LiveBench Reasoning | — | 72.3% |
| LiveBench Data Analysis | — | 57.9% |
| ForecastBench | 61 | — |
| LiveBench | — | 57.8% |
Math GLM-5 leads
GLM-5: 46.4 (#71), o1-mini: 35.4 (#186)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 46.9% |
| LMArena Math | 1440 | 1358 |
| FrontierMath (Feb 2025 set) | 16.4% | 1.7% |
| MathArena Final-Answer Competitions | 65.7% | — |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), o1-mini: 34.9 (#192)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| GPQA Diamond | 87.8% | 62.4% |
| LMArena Expert | 1454 | 1316 |
| Confabulations | — | 18.6% |
| Vectara Hallucination Rate | 10.1% | — |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), o1-mini: 43.6 (#182)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| LMArena Non-English | 1430 | 1289 |
| LMArena Chinese | 1511 | 1314 |
| LMArena French | 1455 | 1293 |
| LMArena German | 1445 | 1278 |
| LMArena Japanese | 1416 | 1245 |
| LMArena Korean | 1423 | 1223 |
| LMArena Russian | 1436 | 1283 |
| LMArena Spanish | 1454 | 1303 |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), o1-mini: 66.7 (#206)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1428 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), o1-mini: 40.1 (#161)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| LMArena Longer Query | 1446 | 1320 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), o1-mini: 48.4 (#202)
| Benchmark | GLM-5 | o1-mini |
|---|---|---|
| LMArena Text | 1446 | 1317 |
| LMArena Creative Writing | 1439 | 1244 |
| LMArena Multi-Turn | 1456 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| EQ-Bench Creative Writing | 1601 | — |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is GLM-5 better than o1-mini?
GLM-5 is the stronger model overall, scoring 46.1 to 34.0 on the Noometry Index.
Is GLM-5 or o1-mini better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 35.5 in the Noometry coding category.
How many benchmarks do GLM-5 and o1-mini share?
25 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and o1-mini has 39.