Model comparison
GLM-4.5V vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 39.8 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 61.0 to 52.5.
- 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 | 39.8 | 42.1 |
| 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: 39.5 (#155), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1347 | 1471 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 43.9% |
| LMArena Hard Prompts | 1334 | 1440 |
| NYT Connections (extended) | — | 17.7% |
Math Longcat Flash Chat leads
GLM-4.5V: 37.4 (#159), Longcat Flash Chat: 39.4 (#107)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1354 | 1442 |
Knowledge Longcat Flash Chat leads
GLM-4.5V: 37.5 (#156), Longcat Flash Chat: 40.6 (#116)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1353 | 1454 |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Longcat Flash Chat: —
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Longcat Flash Chat leads
GLM-4.5V: 44.6 (#177), Longcat Flash Chat: 51.9 (#101)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1303 | 1404 |
| LMArena Chinese | 1337 | 1465 |
| LMArena Russian | 1298 | 1395 |
| LMArena Spanish | 1336 | 1445 |
| LMArena French | — | 1456 |
| LMArena German | — | 1408 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1371 |
Instruction Following Longcat Flash Chat leads
GLM-4.5V: 69.2 (#175), Longcat Flash Chat: 74.4 (#96)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1311 | 1411 |
Long Context Longcat Flash Chat leads
GLM-4.5V: 39.6 (#171), Longcat Flash Chat: 43.5 (#93)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1304 | 1425 |
Writing & Preference Longcat Flash Chat leads
GLM-4.5V: 52.5 (#170), Longcat Flash Chat: 61.0 (#91)
| Benchmark | GLM-4.5V | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1333 | 1427 |
| LMArena Creative Writing | 1295 | 1388 |
| LMArena Multi-Turn | 1332 | 1418 |
Frequently asked questions
Is GLM-4.5V better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 39.8 on the Noometry Index.
Is GLM-4.5V or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 39.5 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.