Model comparison
Gemini Advanced 0514 vs GLM-4.6
GLM-4.6 is the stronger model overall, scoring 40.9 to 37.1 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 61.3 to 48.8.
- 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 | 37.1 | 40.9 |
| 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: 36.0 (#202), GLM-4.6: 39.9 (#137)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1255 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1339 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |
Agentic & Tool Use Not comparable
Gemini Advanced 0514: —, GLM-4.6: 32.1 (#60)
| 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: 23.6 (#163), GLM-4.6: 23.1 (#168)
| 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: 32.9 (#181), GLM-4.6: 36.4 (#115)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Math | 1272 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-4.6 leads
Gemini Advanced 0514: 32.7 (#201), GLM-4.6: 39.6 (#118)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1215 | 1432 |
| Vectara Hallucination Rate | — | 9.5% |
Multilingual GLM-4.6 leads
Gemini Advanced 0514: 42.8 (#187), GLM-4.6: 53.6 (#62)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1274 | 1426 |
| LMArena Chinese | 1274 | 1500 |
| LMArena French | 1306 | 1459 |
| LMArena German | 1275 | 1447 |
| LMArena Japanese | 1242 | 1394 |
| LMArena Korean | 1232 | 1401 |
| LMArena Russian | 1283 | 1418 |
| LMArena Spanish | 1242 | 1436 |
Instruction Following GLM-4.6 leads
Gemini Advanced 0514: 66.2 (#206), GLM-4.6: 74.5 (#93)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1254 | 1410 |
Long Context GLM-4.6 leads
Gemini Advanced 0514: 38.0 (#202), GLM-4.6: 43.4 (#91)
| Benchmark | Gemini Advanced 0514 | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1254 | 1423 |
Writing & Preference GLM-4.6 leads
Gemini Advanced 0514: 48.8 (#195), GLM-4.6: 61.3 (#86)
| 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 40.9 to 37.1 on the Noometry Index.
Is Gemini Advanced 0514 or GLM-4.6 better for coding?
GLM-4.6 scores higher on coding benchmarks: 39.9 versus 36.0 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.