Model comparison
GLM-4.7-Flash vs Hunyuan Standard 2025 02 10
GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 37.2 on the Noometry Index.
Last verified . 12 shared benchmarks.
TencentSummary
- They share 12 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Hunyuan Standard 2025 02 10 in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.7-Flash leads 46.8 to 41.9.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | Hunyuan Standard 2025 02 10 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 38.4 | 37.2 |
| Released | 2026-01-19 | — |
| Weights | Open | Proprietary |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.0 (#133), Hunyuan Standard 2025 02 10: 36.5 (#192)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Coding | 1383 | 1270 |
Reasoning Hunyuan Standard 2025 02 10 leads
GLM-4.7-Flash: 20.2 (#224), Hunyuan Standard 2025 02 10: 23.9 (#157)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1264 |
| Chess Puzzles | 0% | — |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 34.4 (#159), Hunyuan Standard 2025 02 10: 33.0 (#179)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Math | 1354 | 1274 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.4 (#177), Hunyuan Standard 2025 02 10: 33.6 (#192)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Expert | 1357 | 1248 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.8 (#152), Hunyuan Standard 2025 02 10: 41.9 (#198)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1331 | 1262 |
| LMArena Chinese | 1403 | 1319 |
| LMArena Russian | 1333 | 1258 |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Spanish | 1351 | — |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.3 (#162), Hunyuan Standard 2025 02 10: 65.8 (#214)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1245 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#143), Hunyuan Standard 2025 02 10: 39.5 (#168)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1345 | 1301 |
Writing & Preference Too close to call
GLM-4.7-Flash: 47.7 (#206), Hunyuan Standard 2025 02 10: 47.4 (#209)
| Benchmark | GLM-4.7-Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Text | 1351 | 1274 |
| LMArena Creative Writing | 1297 | 1242 |
| LMArena Multi-Turn | 1342 | 1275 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Hunyuan Standard 2025 02 10?
GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 37.2 on the Noometry Index.
Is GLM-4.7-Flash or Hunyuan Standard 2025 02 10 better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 36.5 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Hunyuan Standard 2025 02 10 share?
12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Hunyuan Standard 2025 02 10 has 12.