Model comparison
GLM-4.7 vs Longcat Flash Chat
GLM-4.7 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 . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.7 scores higher in 5 categories and Longcat Flash Chat in 3 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 40.6.
Side by side
| GLM-4.7 | Longcat Flash Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meituan |
| Noometry Index | 42.0 | 42.1 |
| Released | 2025-12-22 | — |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 36 | 19 |
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Category by category
Coding Too close to call
GLM-4.7: 44.0 (#79), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1454 | 1471 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |
Agentic & Tool Use Not comparable
GLM-4.7: 26.5 (#103), Longcat Flash Chat: —
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning GLM-4.7 leads
GLM-4.7: 24.3 (#164), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1440 |
| SimpleBench | 47.7% | — |
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.51 | — |
Math Too close to call
GLM-4.7: 38.6 (#135), Longcat Flash Chat: 39.4 (#107)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1423 | 1442 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.7 leads
GLM-4.7: 47.0 (#80), Longcat Flash Chat: 40.6 (#116)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1424 | 1454 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |
Multilingual Too close to call
GLM-4.7: 52.8 (#79), Longcat Flash Chat: 51.9 (#101)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1417 | 1404 |
| LMArena Chinese | 1495 | 1465 |
| LMArena French | 1432 | 1456 |
| LMArena German | 1424 | 1408 |
| LMArena Japanese | 1439 | 1373 |
| LMArena Korean | 1399 | 1371 |
| LMArena Russian | 1423 | 1395 |
| LMArena Spanish | 1434 | 1445 |
Instruction Following Too close to call
GLM-4.7: 74.4 (#95), Longcat Flash Chat: 74.4 (#96)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1411 | 1411 |
Long Context Too close to call
GLM-4.7: 42.8 (#116), Longcat Flash Chat: 43.5 (#93)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1432 | 1425 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference Too close to call
GLM-4.7: 60.9 (#93), Longcat Flash Chat: 61.0 (#91)
| Benchmark | GLM-4.7 | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1435 | 1427 |
| LMArena Creative Writing | 1401 | 1388 |
| LMArena Multi-Turn | 1446 | 1418 |
| EQ-Bench Creative Writing | 1413 | — |
Frequently asked questions
Is GLM-4.7 better than Longcat Flash Chat?
GLM-4.7 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-4.7 or Longcat Flash Chat better for coding?
They score almost the same on coding (44.0 vs 43.5); test both on your own repository before choosing.
How many benchmarks do GLM-4.7 and Longcat Flash Chat share?
17 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Longcat Flash Chat has 19.