Model comparison
GLM-5.3 vs Grok 4.5
GLM-5.3 and Grok 4.5 score almost the same on the Noometry Index (54.8 vs 55.0), so choose on price, context window or the category you care about most.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. GLM-5.3 scores higher in 6 categories and Grok 4.5 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 46.1.
- The biggest single-benchmark swing is WeirdML: 75.4% for GLM-5.3 and 46.4% for Grok 4.5.
- GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $2 / $6 for Grok 4.5.
- GLM-5.3 accepts more context: 1M tokens versus 500K.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3 | Grok 4.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 54.8 | 55.0 |
| Released | 2026-08-14 | 2026-07-08 |
| Weights | Open | Proprietary |
| Context window | 1M | 500K |
| Max output | 131K | 500K |
| Input $ / M tokens | $1.40 | $2 |
| Output $ / M tokens | $4.40 | $6 |
| Results tracked | 42 | 52 |
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Category by category
Coding GLM-5.3 leads
GLM-5.3: 59.5 (#14), Grok 4.5: 52.2 (#35)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| DeepSWE | 69% | 53.8% |
| FrontierCode | 40.1% | 42.4% |
| LMArena WebDev | 1622 | 1553 |
| SciCode | 59% | 54.1% |
| WeirdML | 75.4% | 46.4% |
| LMArena Coding | 1496 | 1474 |
| ALE-Bench | 1,317 | 1,309 |
| CursorBench | 42.6% | — |
| FrontierSWE | 30.2% | — |
Agentic & Tool Use Grok 4.5 leads
GLM-5.3: 36.4 (#38), Grok 4.5: 44.4 (#17)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| APEX-Agents | 56.6% | 56.2% |
| Vending-Bench 2 | 8,164 | 3,887 |
| τ²-bench Banking | — | 47.9% |
| PostTrainBench | — | 23.4% |
| GBAEval | — | 65.4% |
| GDP.pdf | — | 14% |
| LMArena Search | — | 1213 |
Reasoning Grok 4.5 leads
GLM-5.3: 46.1 (#46), Grok 4.5: 56.1 (#25)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| NYT Connections (extended) | 74.2% | 79.9% |
| CritPt | 19.1% | 15.4% |
| Chess Puzzles | 21% | 36% |
| LMArena Hard Prompts | 1489 | 1462 |
| DTBench | 87.7% | 96.5% |
| LMCA | 55.5% | 45.2% |
| Epoch Capabilities Index | 155.61 | 153.92 |
| ARC-AGI-2 | — | 52.6% |
| SimpleBench | — | 70% |
| Kagi LLM Benchmark | — | 83.5% |
| ARC-AGI-1 | — | 87.2% |
| Mystery Game Puzzles | 33% | — |
| Surface Evolver Bench | — | 74.4% |
| Bench to the Future 3 | 0.15 | — |
Math GLM-5.3 leads
GLM-5.3: 62.3 (#33), Grok 4.5: 60.9 (#35)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.8% | 57.2% |
| FrontierMath Tier 4 | 29.3% | 24.4% |
| OTIS Mock AIME 2024-2025 | 91.1% | 97.8% |
| ProofBench | 49% | 31% |
| LMArena Math | 1489 | 1459 |
Knowledge Grok 4.5 leads
GLM-5.3: 58.3 (#37), Grok 4.5: 62.3 (#24)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| GPQA Diamond | 90.9% | 93.4% |
| SimpleQA Verified | 41% | 48.3% |
| LMArena Expert | 1516 | 1466 |
Multimodal Not comparable
GLM-5.3: —, Grok 4.5: 37.6 (#72)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| LMArena Vision | — | 1288 |
| Blueprint-Bench 2 | — | 27.3% |
| Furniture Assembly | — | 22.5% |
| LMArena Document | — | 1452 |
Multilingual GLM-5.3 leads
GLM-5.3: 55.7 (#28), Grok 4.5: 54.4 (#42)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| LMArena Non-English | 1457 | 1440 |
| LMArena Chinese | 1528 | 1496 |
| LMArena French | 1499 | 1456 |
| LMArena German | 1499 | 1446 |
| LMArena Japanese | 1453 | 1428 |
| LMArena Korean | 1472 | 1404 |
| LMArena Russian | 1463 | 1448 |
| LMArena Spanish | 1460 | 1450 |
Instruction Following GLM-5.3 leads
GLM-5.3: 77.5 (#23), Grok 4.5: 76.0 (#48)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| LMArena Instruction Following | 1477 | 1446 |
Long Context Too close to call
GLM-5.3: 45.4 (#41), Grok 4.5: 44.8 (#56)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| LMArena Longer Query | 1482 | 1463 |
Writing & Preference GLM-5.3 leads
GLM-5.3: 75.7 (#6), Grok 4.5: 65.8 (#42)
| Benchmark | GLM-5.3 | Grok 4.5 |
|---|---|---|
| LMArena Text | 1471 | 1448 |
| LMArena Creative Writing | 1457 | 1442 |
| EQ-Bench Creative Writing | 2075 | 1579 |
| LMArena Multi-Turn | 1472 | 1456 |
Frequently asked questions
Is GLM-5.3 better than Grok 4.5?
GLM-5.3 and Grok 4.5 score almost the same on the Noometry Index (54.8 vs 55.0), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-5.3 or Grok 4.5?
GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Grok 4.5 lists at $2 and $6.
Is GLM-5.3 or Grok 4.5 better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.5 versus 52.2 in the Noometry coding category.
Which has the bigger context window?
GLM-5.3 does, with 1M tokens against 500K.
How many benchmarks do GLM-5.3 and Grok 4.5 share?
38 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Grok 4.5 has 52.