Model comparison
GLM-5 vs Grok 4
Grok 4 is the stronger model overall, scoring 48.1 to 46.1 on the Noometry Index.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. GLM-5 scores higher in 2 categories and Grok 4 in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 44.7.
- The biggest single-benchmark swing is Terminal-Bench: 52.4% for GLM-5 and 27.2% for Grok 4.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| GLM-5 | Grok 4 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 46.1 | 48.1 |
| Released | 2026-02-11 | 2025-07-09 |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 45 | 48 |
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Category by category
Coding Grok 4 leads
GLM-5: 49.0 (#52), Grok 4: 50.3 (#46)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| WeirdML | 48.2% | 45.7% |
| LMArena Coding | 1461 | 1408 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| Aider Polyglot | — | 79.6% |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Grok 4 leads
GLM-5: 31.1 (#71), Grok 4: 32.3 (#68)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| Terminal-Bench | 52.4% | 27.2% |
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 21.1% |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Cybench | — | 43% |
| DeepResearch Bench | — | 47.3% |
| BALROG | — | 43.6% |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 66.6% |
| Vending-Bench 2 | 4,432 | — |
Reasoning Grok 4 leads
GLM-5: 27.6 (#116), Grok 4: 36.7 (#65)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| ARC-AGI-2 | 4.9% | 16% |
| SimpleBench | 53.2% | 60.5% |
| Kagi LLM Benchmark | 75% | 73.6% |
| ARC-AGI-1 | 44.7% | 66.7% |
| Chess Puzzles | 10% | 28% |
| LMArena Hard Prompts | 1452 | 1409 |
| Epoch Capabilities Index | 145.83 | 146.44 |
| ForecastBench | 61 | 60.9 |
| NYT Connections (extended) | 74.8% | — |
Math Grok 4 leads
GLM-5: 46.4 (#71), Grok 4: 48.4 (#64)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 84% |
| LMArena Math | 1440 | 1422 |
| FrontierMath (Feb 2025 set) | 16.4% | 19.7% |
| FrontierMath Tier 4 (v1) | 2.1% | 2.1% |
| MathArena Final-Answer Competitions | 65.7% | — |
| Omni-MATH | — | 60.3% |
Knowledge Grok 4 leads
GLM-5: 52.3 (#64), Grok 4: 53.8 (#55)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| GPQA Diamond | 87.8% | 87% |
| LMArena Expert | 1454 | 1415 |
| MMLU-Pro | — | 85.1% |
| Confabulations | — | 12.4% |
| Vectara Hallucination Rate | 10.1% | — |
| GPQA (HELM) | — | 72.7% |
Multimodal Not comparable
GLM-5: —, Grok 4: 33.7 (#94)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| LMArena Vision | — | 1210 |
| GeoBench | — | 45% |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), Grok 4: 51.8 (#103)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| LMArena Non-English | 1430 | 1403 |
| LMArena Chinese | 1511 | 1427 |
| LMArena French | 1455 | 1418 |
| LMArena German | 1445 | 1429 |
| LMArena Japanese | 1416 | 1394 |
| LMArena Korean | 1423 | 1377 |
| LMArena Russian | 1436 | 1410 |
| LMArena Spanish | 1454 | 1420 |
Instruction Following Grok 4 leads
GLM-5: 75.2 (#67), Grok 4: 79.2 (#5)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| LMArena Instruction Following | 1428 | 1387 |
| IFEval | — | 94.9% |
Long Context Grok 4 leads
GLM-5: 44.7 (#60), Grok 4: 63.1 (#4)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| LMArena Longer Query | 1446 | 1409 |
| Fiction.LiveBench | — | 94.4% |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Grok 4: 58.5 (#116)
| Benchmark | GLM-5 | Grok 4 |
|---|---|---|
| LMArena Text | 1446 | 1411 |
| LMArena Creative Writing | 1439 | 1397 |
| LMArena Multi-Turn | 1456 | 1416 |
| Short-Story Creative Writing | — | 76.9% |
| EQ-Bench Creative Writing | 1601 | — |
| WildBench | — | 79.7% |
Frequently asked questions
Is GLM-5 better than Grok 4?
Grok 4 is the stronger model overall, scoring 48.1 to 46.1 on the Noometry Index.
Is GLM-5 or Grok 4 better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 49.0 in the Noometry coding category.
How many benchmarks do GLM-5 and Grok 4 share?
30 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Grok 4 has 48.