Model comparison
GLM-4.5 vs Longcat Flash Chat
GLM-4.5 and Longcat Flash Chat score almost the same on the Noometry Index (42.0 vs 42.1), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 2 categories and Longcat Flash Chat in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 19.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 43.9% for Longcat Flash Chat.
Side by side
| GLM-4.5 | Longcat Flash Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meituan |
| Noometry Index | 42.0 | 42.1 |
| Released | 2025-07-27 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 19 |
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Category by category
Coding Longcat Flash Chat leads
GLM-4.5: 41.4 (#125), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1434 | 1471 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 43.9% |
| LMArena Hard Prompts | 1429 | 1440 |
| NYT Connections (extended) | — | 17.7% |
Math Too close to call
GLM-4.5: 39.0 (#116), Longcat Flash Chat: 39.4 (#107)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1427 | 1442 |
Knowledge Longcat Flash Chat leads
GLM-4.5: 35.9 (#179), Longcat Flash Chat: 40.6 (#116)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1433 | 1454 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual Too close to call
GLM-4.5: 52.8 (#77), Longcat Flash Chat: 51.9 (#101)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1417 | 1404 |
| LMArena Chinese | 1465 | 1465 |
| LMArena French | 1418 | 1456 |
| LMArena German | 1407 | 1408 |
| LMArena Japanese | 1415 | 1373 |
| LMArena Korean | 1380 | 1371 |
| LMArena Russian | 1414 | 1395 |
| LMArena Spanish | 1454 | 1445 |
Instruction Following Too close to call
GLM-4.5: 74.1 (#104), Longcat Flash Chat: 74.4 (#96)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1404 | 1411 |
Long Context Longcat Flash Chat leads
GLM-4.5: 38.2 (#201), Longcat Flash Chat: 43.5 (#93)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1412 | 1425 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Longcat Flash Chat leads
GLM-4.5: 57.5 (#127), Longcat Flash Chat: 61.0 (#91)
| Benchmark | GLM-4.5 | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1430 | 1427 |
| LMArena Creative Writing | 1395 | 1388 |
| LMArena Multi-Turn | 1415 | 1418 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Longcat Flash Chat?
GLM-4.5 and Longcat Flash Chat score almost the same on the Noometry Index (42.0 vs 42.1), so choose on price, context window or the category you care about most.
Is GLM-4.5 or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 41.4 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Longcat Flash Chat share?
18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Longcat Flash Chat has 19.