Model comparison
GLM-4.5-Air vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 38.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-4.5-Air scores higher in 1 category and Longcat Flash Chat in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Longcat Flash Chat leads 43.5 to 33.3.
Side by side
| GLM-4.5-Air | Longcat Flash Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meituan |
| Noometry Index | 38.9 | 42.1 |
| Released | 2025-07-20 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 19 |
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Category by category
Coding Longcat Flash Chat leads
GLM-4.5-Air: 33.3 (#259), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1397 | 1471 |
| GSO | 2.9% | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 43% | 43.9% |
| LMArena Hard Prompts | 1379 | 1440 |
| NYT Connections (extended) | — | 17.7% |
| ForecastBench | 59.2 | — |
Math Longcat Flash Chat leads
GLM-4.5-Air: 36.2 (#170), Longcat Flash Chat: 39.4 (#107)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1396 | 1442 |
| Omni-MATH | 39.1% | — |
Knowledge Longcat Flash Chat leads
GLM-4.5-Air: 35.0 (#191), Longcat Flash Chat: 40.6 (#116)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1370 | 1454 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual Longcat Flash Chat leads
GLM-4.5-Air: 49.1 (#135), Longcat Flash Chat: 51.9 (#101)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1366 | 1404 |
| LMArena Chinese | 1426 | 1465 |
| LMArena French | 1399 | 1456 |
| LMArena German | 1377 | 1408 |
| LMArena Japanese | 1348 | 1373 |
| LMArena Korean | 1308 | 1371 |
| LMArena Russian | 1373 | 1395 |
| LMArena Spanish | 1386 | 1445 |
Instruction Following Longcat Flash Chat leads
GLM-4.5-Air: 69.6 (#171), Longcat Flash Chat: 74.4 (#96)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1354 | 1411 |
| IFEval | 81.2% | — |
Long Context Longcat Flash Chat leads
GLM-4.5-Air: 41.6 (#135), Longcat Flash Chat: 43.5 (#93)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1366 | 1425 |
Writing & Preference Longcat Flash Chat leads
GLM-4.5-Air: 55.9 (#139), Longcat Flash Chat: 61.0 (#91)
| Benchmark | GLM-4.5-Air | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1384 | 1427 |
| LMArena Creative Writing | 1343 | 1388 |
| LMArena Multi-Turn | 1371 | 1418 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 38.9 on the Noometry Index.
Is GLM-4.5-Air or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 33.3 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and Longcat Flash Chat share?
18 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Longcat Flash Chat has 19.