Model comparison
GLM-5.3-Flash vs Grok 4 Fast
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.0 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Grok 4 Fast in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 31.5.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3-Flash | Grok 4 Fast | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 49.6 | 39.0 |
| Released | 2026-08-20 | 2025-09-19 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 36 | 30 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.7 (#26), Grok 4 Fast: 32.3 (#264)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena WebDev | 1614 | 1160 |
| LMArena Coding | 1506 | 1429 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| SciCode | 51.6% | — |
| WeirdML | — | 42.9% |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use GLM-5.3-Flash leads
GLM-5.3-Flash: 34.3 (#41), Grok 4 Fast: 29.3 (#80)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| APEX-Agents | 52.8% | — |
| τ²-bench Banking | — | 15.7% |
| Cybench | — | 30% |
| GDP.pdf | 14% | — |
| LMArena Search | — | 1171 |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 31.7 (#69), Grok 4 Fast: 22.5 (#179)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1413 |
| Epoch Capabilities Index | 151.9 | 144.21 |
| ARC-AGI-2 | — | 5.3% |
| Kagi LLM Benchmark | — | 66.1% |
| ARC-AGI-1 | — | 48.5% |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| DTBench | — | 82.7% |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| ForecastBench | — | 60.5 |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#38), Grok 4 Fast: 36.1 (#126)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Math | 1499 | 1419 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |
Knowledge GLM-5.3-Flash leads
GLM-5.3-Flash: 58.4 (#33), Grok 4 Fast: 31.5 (#211)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Expert | 1512 | 1411 |
| GPQA Diamond | 90.2% | — |
| Vectara Hallucination Rate | — | 19.7% |
Multimodal Not comparable
GLM-5.3-Flash: 42.6 (#25), Grok 4 Fast: —
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Vision | 1304 | — |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.2 (#24), Grok 4 Fast: 51.5 (#106)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Non-English | 1462 | 1397 |
| LMArena Chinese | 1529 | 1458 |
| LMArena French | 1495 | 1433 |
| LMArena German | 1457 | 1383 |
| LMArena Japanese | 1420 | 1358 |
| LMArena Korean | 1443 | 1359 |
| LMArena Russian | 1472 | 1387 |
| LMArena Spanish | 1471 | 1414 |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.8 (#17), Grok 4 Fast: 73.4 (#116)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Instruction Following | 1480 | 1388 |
Long Context Grok 4 Fast leads
GLM-5.3-Flash: 45.3 (#41), Grok 4 Fast: 63.2 (#3)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Longer Query | 1479 | 1415 |
| Fiction.LiveBench | — | 94.4% |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.4 (#49), Grok 4 Fast: 60.2 (#96)
| Benchmark | GLM-5.3-Flash | Grok 4 Fast |
|---|---|---|
| LMArena Text | 1471 | 1407 |
| LMArena Creative Writing | 1440 | 1388 |
| LMArena Multi-Turn | 1471 | 1414 |
Frequently asked questions
Is GLM-5.3-Flash better than Grok 4 Fast?
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.0 on the Noometry Index.
Is GLM-5.3-Flash or Grok 4 Fast better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 32.3 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and Grok 4 Fast share?
19 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Grok 4 Fast has 30.