Model comparison
GLM-4.5 vs Grok-2 (Dec 2024)
GLM-4.5 is the stronger model overall, scoring 42.0 to 33.7 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and Grok-2 (Dec 2024) in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5 leads 39.0 to 20.8.
- The biggest single-benchmark swing is WeirdML: 40.6% for GLM-4.5 and 22.2% for Grok-2 (Dec 2024).
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 42.0 | 33.7 |
| Released | 2025-07-27 | 2024-08-13 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 34 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| WeirdML | 40.6% | 22.2% |
| LMArena Coding | 1434 | 1287 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LiveBench Coding | — | 46.4% |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1272 |
| SimpleBench | — | 22.7% |
| Kagi LLM Benchmark | 57.9% | — |
| LiveBench Reasoning | — | 54.8% |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| Epoch Capabilities Index | — | 130.48 |
| LiveBench | — | 54.3% |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Math | 1427 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 11.5% |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| Confabulations | 11.3% | 20.1% |
| LMArena Expert | 1433 | 1254 |
| GPQA Diamond | — | 53.8% |
| Humanity's Last Exam | 8.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1417 | 1282 |
| LMArena Chinese | 1465 | 1289 |
| LMArena French | 1418 | 1318 |
| LMArena German | 1407 | 1287 |
| LMArena Japanese | 1415 | 1244 |
| LMArena Korean | 1380 | 1237 |
| LMArena Russian | 1414 | 1286 |
| LMArena Spanish | 1454 | 1281 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1404 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
Long Context Too close to call
GLM-4.5: 38.2 (#201), Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1412 | 1276 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | GLM-4.5 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1430 | 1305 |
| LMArena Creative Writing | 1395 | 1284 |
| Short-Story Creative Writing | 73.4% | 63.6% |
| LMArena Multi-Turn | 1415 | 1290 |
| EQ-Bench Creative Writing | 1343 | — |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is GLM-4.5 better than Grok-2 (Dec 2024)?
GLM-4.5 is the stronger model overall, scoring 42.0 to 33.7 on the Noometry Index.
Is GLM-4.5 or Grok-2 (Dec 2024) better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 33.3 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Grok-2 (Dec 2024) share?
20 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Grok-2 (Dec 2024) has 34.