Model comparison
GLM-4.6 vs Hunyuan Turbos 20250226
GLM-4.6 and Hunyuan Turbos 20250226 score almost the same on the Noometry Index (41.4 vs 41.3), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
TencentSummary
- They share 16 benchmarks with published results for both. GLM-4.6 scores higher in 7 categories and Hunyuan Turbos 20250226 in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.6 leads 53.5 to 48.9.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6 | Hunyuan Turbos 20250226 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 41.4 | 41.3 |
| Released | 2025-09-30 | — |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 29 | 16 |
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Category by category
Coding Too close to call
GLM-4.6: 40.1 (#148), Hunyuan Turbos 20250226: 40.0 (#152)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Coding | 1449 | 1361 |
| 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), Hunyuan Turbos 20250226: —
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
Reasoning Hunyuan Turbos 20250226 leads
GLM-4.6: 23.7 (#172), Hunyuan Turbos 20250226: 27.8 (#113)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1374 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
Math GLM-4.6 leads
GLM-4.6: 39.1 (#111), Hunyuan Turbos 20250226: 37.5 (#154)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Math | 1432 | 1359 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-4.6 leads
GLM-4.6: 40.2 (#124), Hunyuan Turbos 20250226: 37.0 (#161)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Expert | 1431 | 1339 |
| Vectara Hallucination Rate | 9.5% | — |
Multilingual GLM-4.6 leads
GLM-4.6: 53.5 (#66), Hunyuan Turbos 20250226: 48.9 (#136)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Non-English | 1426 | 1363 |
| LMArena Chinese | 1499 | 1417 |
| LMArena French | 1459 | 1391 |
| LMArena German | 1447 | 1355 |
| LMArena Japanese | 1393 | 1342 |
| LMArena Korean | 1400 | 1351 |
| LMArena Russian | 1419 | 1368 |
| LMArena Spanish | 1436 | — |
Instruction Following GLM-4.6 leads
GLM-4.6: 74.3 (#98), Hunyuan Turbos 20250226: 71.0 (#158)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Instruction Following | 1410 | 1344 |
Long Context GLM-4.6 leads
GLM-4.6: 43.4 (#94), Hunyuan Turbos 20250226: 41.6 (#136)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Longer Query | 1422 | 1366 |
Writing & Preference GLM-4.6 leads
GLM-4.6: 61.1 (#90), Hunyuan Turbos 20250226: 57.4 (#128)
| Benchmark | GLM-4.6 | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Text | 1440 | 1377 |
| LMArena Creative Writing | 1411 | 1359 |
| LMArena Multi-Turn | 1427 | 1387 |
| EQ-Bench Creative Writing | 1411 | — |
Frequently asked questions
Is GLM-4.6 better than Hunyuan Turbos 20250226?
GLM-4.6 and Hunyuan Turbos 20250226 score almost the same on the Noometry Index (41.4 vs 41.3), so choose on price, context window or the category you care about most.
Is GLM-4.6 or Hunyuan Turbos 20250226 better for coding?
They score almost the same on coding (40.1 vs 40.0); test both on your own repository before choosing.
How many benchmarks do GLM-4.6 and Hunyuan Turbos 20250226 share?
16 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Hunyuan Turbos 20250226 has 16.