Model comparison
GLM-5V-Turbo vs Grok-2 (Dec 2024)
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 33.7 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Grok-2 (Dec 2024) in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5V-Turbo leads 39.4 to 20.8.
Side by side
| GLM-5V-Turbo | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 43.8 | 33.7 |
| Released | 2026-04-01 | 2024-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 34 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Coding | 1466 | 1287 |
| LMArena WebDev | 1401 | — |
| WeirdML | — | 22.2% |
| LiveBench Coding | — | 46.4% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1272 |
| SimpleBench | — | 22.7% |
| LiveBench Reasoning | — | 54.8% |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| Epoch Capabilities Index | — | 130.48 |
| LiveBench | — | 54.3% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Math | 1441 | 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-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Expert | 1452 | 1254 |
| GPQA Diamond | — | 53.8% |
| Confabulations | — | 20.1% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Grok-2 (Dec 2024): —
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1420 | 1282 |
| LMArena Chinese | 1488 | 1289 |
| LMArena French | 1444 | 1318 |
| LMArena German | 1423 | 1287 |
| LMArena Korean | 1396 | 1237 |
| LMArena Russian | 1431 | 1286 |
| LMArena Spanish | 1450 | 1281 |
| LMArena Japanese | — | 1244 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1423 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1438 | 1276 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | GLM-5V-Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1437 | 1305 |
| LMArena Creative Writing | 1416 | 1284 |
| LMArena Multi-Turn | 1432 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is GLM-5V-Turbo better than Grok-2 (Dec 2024)?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 33.7 on the Noometry Index.
Is GLM-5V-Turbo or Grok-2 (Dec 2024) better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 33.3 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Grok-2 (Dec 2024) share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Grok-2 (Dec 2024) has 34.