Model comparison
GLM-4.6 vs Longcat Flash Chat
GLM-4.6 and Longcat Flash Chat score almost the same on the Noometry Index (41.4 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-4.6 scores higher in 3 categories and Longcat Flash Chat in 5 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6 leads 23.7 to 19.0.
Side by side
| GLM-4.6 | Longcat Flash Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meituan |
| Noometry Index | 41.4 | 42.1 |
| Released | 2025-09-30 | — |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 29 | 19 |
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Category by category
Coding Longcat Flash Chat leads
GLM-4.6: 40.1 (#148), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1449 | 1471 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1340 | — |
| SciCode | 38.4% | — |
| ALE-Bench | 340.82 | — |
Agentic & Tool Use Not comparable
GLM-4.6: 32.3 (#66), Longcat Flash Chat: —
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
Reasoning GLM-4.6 leads
GLM-4.6: 23.7 (#172), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | 43.9% |
| LMArena Hard Prompts | 1440 | 1440 |
| NYT Connections (extended) | — | 17.7% |
| CritPt | 1.1% | — |
Math Too close to call
GLM-4.6: 39.1 (#111), Longcat Flash Chat: 39.4 (#107)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1432 | 1442 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Too close to call
GLM-4.6: 40.2 (#124), Longcat Flash Chat: 40.6 (#116)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1431 | 1454 |
| Vectara Hallucination Rate | 9.5% | — |
Multilingual GLM-4.6 leads
GLM-4.6: 53.5 (#66), Longcat Flash Chat: 51.9 (#101)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1426 | 1404 |
| LMArena Chinese | 1499 | 1465 |
| LMArena French | 1459 | 1456 |
| LMArena German | 1447 | 1408 |
| LMArena Japanese | 1393 | 1373 |
| LMArena Korean | 1400 | 1371 |
| LMArena Russian | 1419 | 1395 |
| LMArena Spanish | 1436 | 1445 |
Instruction Following Too close to call
GLM-4.6: 74.3 (#98), Longcat Flash Chat: 74.4 (#96)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1410 | 1411 |
Long Context Too close to call
GLM-4.6: 43.4 (#94), Longcat Flash Chat: 43.5 (#93)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1422 | 1425 |
Writing & Preference Too close to call
GLM-4.6: 61.1 (#90), Longcat Flash Chat: 61.0 (#91)
| Benchmark | GLM-4.6 | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1440 | 1427 |
| LMArena Creative Writing | 1411 | 1388 |
| LMArena Multi-Turn | 1427 | 1418 |
| EQ-Bench Creative Writing | 1411 | — |
Frequently asked questions
Is GLM-4.6 better than Longcat Flash Chat?
GLM-4.6 and Longcat Flash Chat score almost the same on the Noometry Index (41.4 vs 42.1), so choose on price, context window or the category you care about most.
Is GLM-4.6 or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 40.1 in the Noometry coding category.
How many benchmarks do GLM-4.6 and Longcat Flash Chat share?
18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Longcat Flash Chat has 19.