Model comparison
GLM-5.1 vs Grok-2 (Dec 2024)
GLM-5.1 is the stronger model overall, scoring 47.8 to 33.7 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GLM-5.1 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-5.1 leads 49.7 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for GLM-5.1 and 11.5% for Grok-2 (Dec 2024).
- GLM-5.1 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.1 | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 47.8 | 33.7 |
| Released | 2026-04-07 | 2024-08-13 |
| Weights | Open | Proprietary |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 41 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5.1 leads
GLM-5.1: 48.7 (#55), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| WeirdML | 57.1% | 22.2% |
| LMArena Coding | 1485 | 1287 |
| SWE-bench Verified | 74.2% | — |
| LMArena WebDev | 1508 | — |
| SciCode | 43.8% | — |
| LiveBench Coding | — | 46.4% |
| ALE-Bench | 887.1 | — |
Agentic & Tool Use Not comparable
GLM-5.1: 24.9 (#113), Grok-2 (Dec 2024): —
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| APEX-Agents | 40.9% | — |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning GLM-5.1 leads
GLM-5.1: 39.1 (#60), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| SimpleBench | 55.1% | 22.7% |
| LMArena Hard Prompts | 1472 | 1272 |
| Epoch Capabilities Index | 149.84 | 130.48 |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| LiveBench Reasoning | — | 54.8% |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| LiveBench | — | 54.3% |
Math GLM-5.1 leads
GLM-5.1: 49.7 (#60), Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 11.5% |
| LMArena Math | 1473 | 1283 |
| FrontierMath (Feb 2025 set) | 33.4% | 0.7% |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| ProofBench | 22.2% | — |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 54.9 (#50), Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 89.9% | 53.8% |
| LMArena Expert | 1476 | 1254 |
| SimpleQA Verified | 34% | — |
| Confabulations | — | 20.1% |
Multilingual GLM-5.1 leads
GLM-5.1: 55.0 (#36), Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1447 | 1282 |
| LMArena Chinese | 1515 | 1289 |
| LMArena French | 1474 | 1318 |
| LMArena German | 1465 | 1287 |
| LMArena Japanese | 1434 | 1244 |
| LMArena Korean | 1418 | 1237 |
| LMArena Russian | 1454 | 1286 |
| LMArena Spanish | 1469 | 1281 |
Instruction Following GLM-5.1 leads
GLM-5.1: 76.3 (#42), Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1451 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
Long Context GLM-5.1 leads
GLM-5.1: 44.9 (#53), Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1466 | 1276 |
Writing & Preference GLM-5.1 leads
GLM-5.1: 66.9 (#31), Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | GLM-5.1 | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1461 | 1305 |
| LMArena Creative Writing | 1453 | 1284 |
| LMArena Multi-Turn | 1472 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| EQ-Bench Creative Writing | 1592 | — |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is GLM-5.1 better than Grok-2 (Dec 2024)?
GLM-5.1 is the stronger model overall, scoring 47.8 to 33.7 on the Noometry Index.
Is GLM-5.1 or Grok-2 (Dec 2024) better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.7 versus 33.3 in the Noometry coding category.
How many benchmarks do GLM-5.1 and Grok-2 (Dec 2024) share?
23 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Grok-2 (Dec 2024) has 34.