Model comparison
GLM-4.7-Flash vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 38.8 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-4.7-Flash 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 47.4.
Side by side
| GLM-4.7-Flash | Longcat Flash Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meituan |
| Noometry Index | 38.8 | 42.1 |
| Released | 2026-01-19 | — |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 19 |
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Category by category
Coding Longcat Flash Chat leads
GLM-4.7-Flash: 40.6 (#135), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1383 | 1471 |
Reasoning GLM-4.7-Flash leads
GLM-4.7-Flash: 20.9 (#229), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1440 |
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| Chess Puzzles | 0% | — |
Math Longcat Flash Chat leads
GLM-4.7-Flash: 36.1 (#173), Longcat Flash Chat: 39.4 (#107)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1355 | 1442 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge Longcat Flash Chat leads
GLM-4.7-Flash: 35.5 (#184), Longcat Flash Chat: 40.6 (#116)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1357 | 1454 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual Longcat Flash Chat leads
GLM-4.7-Flash: 46.5 (#158), Longcat Flash Chat: 51.9 (#101)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1330 | 1404 |
| LMArena Chinese | 1403 | 1465 |
| LMArena French | 1332 | 1456 |
| LMArena German | 1337 | 1408 |
| LMArena Korean | 1283 | 1371 |
| LMArena Russian | 1332 | 1395 |
| LMArena Spanish | 1350 | 1445 |
| LMArena Japanese | — | 1373 |
Instruction Following Longcat Flash Chat leads
GLM-4.7-Flash: 70.1 (#167), Longcat Flash Chat: 74.4 (#96)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1327 | 1411 |
Long Context Longcat Flash Chat leads
GLM-4.7-Flash: 40.9 (#148), Longcat Flash Chat: 43.5 (#93)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1345 | 1425 |
Writing & Preference Longcat Flash Chat leads
GLM-4.7-Flash: 47.4 (#210), Longcat Flash Chat: 61.0 (#91)
| Benchmark | GLM-4.7-Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1351 | 1427 |
| LMArena Creative Writing | 1297 | 1388 |
| LMArena Multi-Turn | 1342 | 1418 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 38.8 on the Noometry Index.
Is GLM-4.7-Flash or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 40.6 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Longcat Flash Chat share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Longcat Flash Chat has 19.