Model comparison
Gemini Advanced 0514 vs GLM-4.6
GLM-4.6 is the stronger model overall, scoring 41.4 to 37.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini Advanced 0514 scores higher in 1 category and GLM-4.6 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.1 to 48.5.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| Gemini Advanced 0514 | GLM-4.6 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.7 | 41.4 |
| Released | — | 2025-09-30 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 17 | 29 |
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Category by category
Coding GLM-4.6 leads
Gemini Advanced 0514: 36.6 (#205), GLM-4.6: 40.1 (#148)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1255 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |
Agentic & Tool Use Not comparable
Gemini Advanced 0514: —, GLM-4.6: 32.3 (#66)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
Reasoning Too close to call
Gemini Advanced 0514: 24.6 (#160), GLM-4.6: 23.7 (#172)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1248 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
Math GLM-4.6 leads
Gemini Advanced 0514: 35.5 (#181), GLM-4.6: 39.1 (#111)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Math | 1272 | 1432 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-4.6 leads
Gemini Advanced 0514: 33.3 (#205), GLM-4.6: 40.2 (#124)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1215 | 1431 |
| Vectara Hallucination Rate | — | 9.5% |
Multilingual GLM-4.6 leads
Gemini Advanced 0514: 42.6 (#192), GLM-4.6: 53.5 (#66)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1274 | 1426 |
| LMArena Chinese | 1274 | 1499 |
| LMArena French | 1307 | 1459 |
| LMArena German | 1275 | 1447 |
| LMArena Japanese | 1242 | 1393 |
| LMArena Korean | 1232 | 1400 |
| LMArena Russian | 1283 | 1419 |
| LMArena Spanish | 1242 | 1436 |
Instruction Following GLM-4.6 leads
Gemini Advanced 0514: 66.0 (#212), GLM-4.6: 74.3 (#98)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1253 | 1410 |
Long Context GLM-4.6 leads
Gemini Advanced 0514: 38.0 (#207), GLM-4.6: 43.4 (#94)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1253 | 1422 |
Writing & Preference GLM-4.6 leads
Gemini Advanced 0514: 48.5 (#200), GLM-4.6: 61.1 (#90)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Text | 1279 | 1440 |
| LMArena Creative Writing | 1284 | 1411 |
| LMArena Multi-Turn | 1269 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
Frequently asked questions
Is Gemini Advanced 0514 better than GLM-4.6?
GLM-4.6 is the stronger model overall, scoring 41.4 to 37.7 on the Noometry Index.
Is Gemini Advanced 0514 or GLM-4.6 better for coding?
GLM-4.6 scores higher on coding benchmarks: 40.1 versus 36.6 in the Noometry coding category.
How many benchmarks do Gemini Advanced 0514 and GLM-4.6 share?
17 benchmarks have published results for both models. Gemini Advanced 0514 has 17 scored results on Noometry and GLM-4.6 has 29.