Model comparison
GLM-5.3-Flash vs Grok-3 mini
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 41.0 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GLM-5.3-Flash scores higher in 7 categories and Grok-3 mini in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3-Flash leads 31.7 to 13.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 77.8% for Grok-3 mini.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3-Flash | Grok-3 mini | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 49.6 | 41.0 |
| Released | 2026-08-20 | 2025-04-09 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 36 | 35 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.7 (#26), Grok-3 mini: 40.4 (#126)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| LMArena Coding | 1506 | 1380 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| Aider Polyglot | — | 49.3% |
| LMArena WebDev | 1614 | — |
| SciCode | 51.6% | — |
| WeirdML | — | 42.6% |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.3 (#41), Grok-3 mini: —
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 31.7 (#69), Grok-3 mini: 13.8 (#323)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1374 |
| Epoch Capabilities Index | 151.9 | 140.35 |
| ARC-AGI-2 | — | 0.4% |
| Kagi LLM Benchmark | — | 61.3% |
| ARC-AGI-1 | — | 16.5% |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#38), Grok-3 mini: 40.3 (#78)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 77.8% |
| LMArena Math | 1499 | 1386 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 21% | — |
| Omni-MATH | — | 31.8% |
| MATH Level 5 | — | 90.9% |
| FrontierMath (Feb 2025 set) | — | 5.9% |
Knowledge GLM-5.3-Flash leads
GLM-5.3-Flash: 58.4 (#33), Grok-3 mini: 46.3 (#75)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| GPQA Diamond | 90.2% | 76.3% |
| LMArena Expert | 1512 | 1395 |
| MMLU-Pro | — | 79.9% |
| Confabulations | — | 10.8% |
| GPQA (HELM) | — | 67.5% |
Multimodal Not comparable
GLM-5.3-Flash: 42.6 (#25), Grok-3 mini: —
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| LMArena Vision | 1304 | — |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.2 (#24), Grok-3 mini: 48.3 (#141)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| LMArena Non-English | 1462 | 1352 |
| LMArena Chinese | 1529 | 1387 |
| LMArena French | 1495 | 1357 |
| LMArena German | 1457 | 1350 |
| LMArena Japanese | 1420 | 1343 |
| LMArena Korean | 1443 | 1336 |
| LMArena Russian | 1472 | 1352 |
| LMArena Spanish | 1471 | 1379 |
Instruction Following Too close to call
GLM-5.3-Flash: 77.8 (#17), Grok-3 mini: 78.7 (#8)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| LMArena Instruction Following | 1480 | 1356 |
| IFEval | — | 95.1% |
Long Context GLM-5.3-Flash leads
GLM-5.3-Flash: 45.3 (#41), Grok-3 mini: 41.0 (#142)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| LMArena Longer Query | 1479 | 1372 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.4 (#49), Grok-3 mini: 52.7 (#163)
| Benchmark | GLM-5.3-Flash | Grok-3 mini |
|---|---|---|
| LMArena Text | 1471 | 1370 |
| LMArena Creative Writing | 1440 | 1342 |
| LMArena Multi-Turn | 1471 | 1355 |
| Short-Story Creative Writing | — | 73.5% |
| WildBench | — | 65.1% |
Frequently asked questions
Is GLM-5.3-Flash better than Grok-3 mini?
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 41.0 on the Noometry Index.
Is GLM-5.3-Flash or Grok-3 mini better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 40.4 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and Grok-3 mini share?
20 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Grok-3 mini has 35.