Model comparison
GLM-5.1 vs Grok 2 Mini 2024 08 13
GLM-5.1 is the stronger model overall, scoring 47.6 to 37.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5.1 scores higher in 8 categories and Grok 2 Mini 2024 08 13 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.1 leads 55.0 to 33.4.
- GLM-5.1 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.1 | Grok 2 Mini 2024 08 13 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 47.6 | 37.0 |
| 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 | 17 |
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Category by category
Coding GLM-5.1 leads
GLM-5.1: 48.5 (#52), Grok 2 Mini 2024 08 13: 36.4 (#194)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Coding | 1486 | 1269 |
| SWE-bench Verified | 74.2% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 43.8% | — |
| WeirdML | 57.1% | — |
| ALE-Bench | 887.1 | — |
Agentic & Tool Use Not comparable
GLM-5.1: 24.8 (#106), Grok 2 Mini 2024 08 13: —
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| APEX-Agents | 40.9% | — |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning GLM-5.1 leads
GLM-5.1: 38.2 (#57), Grok 2 Mini 2024 08 13: 23.7 (#162)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Hard Prompts | 1472 | 1255 |
| SimpleBench | 55.1% | — |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| Epoch Capabilities Index | 149.86 | — |
Math GLM-5.1 leads
GLM-5.1: 49.0 (#48), Grok 2 Mini 2024 08 13: 32.8 (#185)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Math | 1472 | 1265 |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 22.2% | — |
| FrontierMath (Feb 2025 set) | 33.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 55.0 (#45), Grok 2 Mini 2024 08 13: 33.4 (#195)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Expert | 1477 | 1238 |
| GPQA Diamond | 89.9% | — |
| SimpleQA Verified | 34% | — |
Multilingual GLM-5.1 leads
GLM-5.1: 55.2 (#34), Grok 2 Mini 2024 08 13: 41.6 (#203)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Non-English | 1448 | 1257 |
| LMArena Chinese | 1516 | 1262 |
| LMArena French | 1478 | 1285 |
| LMArena German | 1466 | 1273 |
| LMArena Japanese | 1436 | 1213 |
| LMArena Korean | 1423 | 1195 |
| LMArena Russian | 1453 | 1261 |
| LMArena Spanish | 1467 | 1278 |
Instruction Following GLM-5.1 leads
GLM-5.1: 76.5 (#41), Grok 2 Mini 2024 08 13: 65.7 (#215)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Instruction Following | 1451 | 1245 |
Long Context GLM-5.1 leads
GLM-5.1: 44.9 (#51), Grok 2 Mini 2024 08 13: 38.4 (#191)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Longer Query | 1467 | 1267 |
Writing & Preference GLM-5.1 leads
GLM-5.1: 67.2 (#29), Grok 2 Mini 2024 08 13: 47.5 (#207)
| Benchmark | GLM-5.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Text | 1462 | 1281 |
| LMArena Creative Writing | 1454 | 1242 |
| LMArena Multi-Turn | 1473 | 1265 |
| EQ-Bench Creative Writing | 1592 | — |
Frequently asked questions
Is GLM-5.1 better than Grok 2 Mini 2024 08 13?
GLM-5.1 is the stronger model overall, scoring 47.6 to 37.0 on the Noometry Index.
Is GLM-5.1 or Grok 2 Mini 2024 08 13 better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.5 versus 36.4 in the Noometry coding category.
How many benchmarks do GLM-5.1 and Grok 2 Mini 2024 08 13 share?
17 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Grok 2 Mini 2024 08 13 has 17.