Model comparison
GLM-5.3 vs Grok 4.1 Fast
GLM-5.3 is the stronger model overall, scoring 54.8 to 41.4 on the Noometry Index. Grok 4.1 Fast costs 7.8× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. GLM-5.3 scores higher in 9 categories and Grok 4.1 Fast in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.3 to 31.9.
- The biggest single-benchmark swing is ProofBench: 49% for GLM-5.3 and 4% for Grok 4.1 Fast.
- Grok 4.1 Fast is cheaper at $0.20 / $0.50 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- GLM-5.3 accepts more context: 1M tokens versus 128K.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3 | Grok 4.1 Fast | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 54.8 | 41.4 |
| Released | 2026-08-14 | 2025-06-27 |
| Weights | Open | Proprietary |
| Context window | 1M | 128K |
| Max output | 131K | 30K |
| Input $ / M tokens | $1.40 | $0.20 |
| Output $ / M tokens | $4.40 | $0.50 |
| Results tracked | 42 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5.3 leads
GLM-5.3: 59.5 (#14), Grok 4.1 Fast: 34.1 (#245)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| LMArena WebDev | 1622 | 1242 |
| LMArena Coding | 1496 | 1411 |
| ALE-Bench | 1,317 | 394.93 |
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| CursorBench | 42.6% | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
Agentic & Tool Use Too close to call
GLM-5.3: 36.4 (#38), Grok 4.1 Fast: 36.3 (#39)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| Vending-Bench 2 | 8,164 | 1,107 |
| APEX-Agents | 56.6% | — |
| Berkeley Function Calling Leaderboard | — | 69.6% |
| τ²-bench Banking | — | 13.1% |
| LMArena Search | — | 1171 |
Reasoning GLM-5.3 leads
GLM-5.3: 46.1 (#46), Grok 4.1 Fast: 43.4 (#49)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| NYT Connections (extended) | 74.2% | 87.4% |
| LMArena Hard Prompts | 1489 | 1407 |
| DTBench | 87.7% | 87.7% |
| SimpleBench | — | 56% |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 33% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 155.61 | — |
| ForecastBench | — | 61 |
Math GLM-5.3 leads
GLM-5.3: 62.3 (#33), Grok 4.1 Fast: 31.9 (#221)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| ProofBench | 49% | 4% |
| LMArena Math | 1489 | 1408 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| MathArena Final-Answer Competitions | — | 60.9% |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
Knowledge GLM-5.3 leads
GLM-5.3: 58.3 (#37), Grok 4.1 Fast: 33.1 (#207)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| LMArena Expert | 1516 | 1399 |
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | 41% | — |
| Vectara Hallucination Rate | — | 17.8% |
Multimodal Not comparable
GLM-5.3: —, Grok 4.1 Fast: 37.0 (#76)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| LMArena Vision | — | 1201 |
Multilingual GLM-5.3 leads
GLM-5.3: 55.7 (#28), Grok 4.1 Fast: 51.0 (#114)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| LMArena Non-English | 1457 | 1391 |
| LMArena Chinese | 1528 | 1441 |
| LMArena French | 1499 | 1415 |
| LMArena German | 1499 | 1404 |
| LMArena Japanese | 1453 | 1349 |
| LMArena Korean | 1472 | 1361 |
| LMArena Russian | 1463 | 1387 |
| LMArena Spanish | 1460 | 1413 |
Instruction Following GLM-5.3 leads
GLM-5.3: 77.5 (#23), Grok 4.1 Fast: 72.7 (#133)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| LMArena Instruction Following | 1477 | 1376 |
Long Context GLM-5.3 leads
GLM-5.3: 45.4 (#41), Grok 4.1 Fast: 42.4 (#126)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| LMArena Longer Query | 1482 | 1390 |
Writing & Preference GLM-5.3 leads
GLM-5.3: 75.7 (#6), Grok 4.1 Fast: 57.2 (#131)
| Benchmark | GLM-5.3 | Grok 4.1 Fast |
|---|---|---|
| LMArena Text | 1471 | 1408 |
| LMArena Creative Writing | 1457 | 1394 |
| EQ-Bench Creative Writing | 2075 | 1327 |
| LMArena Multi-Turn | 1472 | 1389 |
Frequently asked questions
Is GLM-5.3 better than Grok 4.1 Fast?
GLM-5.3 is the stronger model overall, scoring 54.8 to 41.4 on the Noometry Index. Grok 4.1 Fast costs 7.8× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.
Which is cheaper, GLM-5.3 or Grok 4.1 Fast?
Grok 4.1 Fast is cheaper. It lists at $0.20 per million input tokens and $0.50 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.
Is GLM-5.3 or Grok 4.1 Fast better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
GLM-5.3 does, with 1M tokens against 128K.
How many benchmarks do GLM-5.3 and Grok 4.1 Fast share?
24 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Grok 4.1 Fast has 32.