Model comparison
GLM-4.5V vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 39.2 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and Longcat Flash Chat in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Longcat Flash Chat leads 61.2 to 52.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 43.9% for Longcat Flash Chat.
Side by side
| GLM-4.5V | Longcat Flash Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meituan |
| Noometry Index | 39.2 | 41.5 |
| Released | 2025-08-11 | — |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 19 |
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Category by category
Coding Longcat Flash Chat leads
GLM-4.5V: 38.9 (#152), Longcat Flash Chat: 42.9 (#85)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1347 | 1471 |
Reasoning GLM-4.5V leads
GLM-4.5V: 26.5 (#118), Longcat Flash Chat: 18.3 (#267)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 43.9% |
| LMArena Hard Prompts | 1335 | 1440 |
| NYT Connections (extended) | — | 17.7% |
Math Longcat Flash Chat leads
GLM-4.5V: 34.7 (#157), Longcat Flash Chat: 36.6 (#107)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1353 | 1441 |
Knowledge Longcat Flash Chat leads
GLM-4.5V: 36.8 (#155), Longcat Flash Chat: 40.0 (#111)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1353 | 1454 |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), Longcat Flash Chat: —
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Longcat Flash Chat leads
GLM-4.5V: 44.9 (#172), Longcat Flash Chat: 52.1 (#95)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1304 | 1404 |
| LMArena Chinese | 1338 | 1465 |
| LMArena Russian | 1299 | 1396 |
| LMArena Spanish | 1335 | 1445 |
| LMArena French | — | 1457 |
| LMArena German | — | 1409 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1372 |
Instruction Following Longcat Flash Chat leads
GLM-4.5V: 69.4 (#170), Longcat Flash Chat: 74.6 (#92)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1311 | 1411 |
Long Context Longcat Flash Chat leads
GLM-4.5V: 39.6 (#166), Longcat Flash Chat: 43.5 (#89)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1305 | 1425 |
Writing & Preference Longcat Flash Chat leads
GLM-4.5V: 52.7 (#162), Longcat Flash Chat: 61.2 (#88)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1333 | 1427 |
| LMArena Creative Writing | 1295 | 1388 |
| LMArena Multi-Turn | 1333 | 1418 |
Frequently asked questions
Is GLM-4.5V better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 39.2 on the Noometry Index.
Is GLM-4.5V or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 42.9 versus 38.9 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Longcat Flash Chat share?
14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Longcat Flash Chat has 19.