Model comparison
Gemini 1.5 Pro (May 2024) vs GLM-4.6
GLM-4.6 is the stronger model overall, scoring 41.4 to 32.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and GLM-4.6 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GLM-4.6 leads 32.3 to 17.9.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | GLM-4.6 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 32.1 | 41.4 |
| Released | 2024-02-15 | 2025-09-30 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 45 | 29 |
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Category by category
Coding GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), GLM-4.6: 40.1 (#148)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1294 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), GLM-4.6: 32.3 (#66)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), GLM-4.6: 23.7 (#172)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1440 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |
Math GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), GLM-4.6: 39.1 (#111)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Math | 1315 | 1432 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), GLM-4.6: 40.2 (#124)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1279 | 1431 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 9.5% |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), GLM-4.6: —
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), GLM-4.6: 53.5 (#66)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1312 | 1426 |
| LMArena Chinese | 1331 | 1499 |
| LMArena French | 1302 | 1459 |
| LMArena German | 1286 | 1447 |
| LMArena Japanese | 1292 | 1393 |
| LMArena Korean | 1298 | 1400 |
| LMArena Russian | 1320 | 1419 |
| LMArena Spanish | 1311 | 1436 |
Instruction Following GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), GLM-4.6: 74.3 (#98)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1410 |
| IFEval | 83.7% | — |
Long Context GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), GLM-4.6: 43.4 (#94)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1308 | 1422 |
Writing & Preference GLM-4.6 leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), GLM-4.6: 61.1 (#90)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.6 |
|---|---|---|
| LMArena Text | 1319 | 1440 |
| LMArena Creative Writing | 1333 | 1411 |
| LMArena Multi-Turn | 1296 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GLM-4.6?
GLM-4.6 is the stronger model overall, scoring 41.4 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GLM-4.6 better for coding?
GLM-4.6 scores higher on coding benchmarks: 40.1 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GLM-4.6 share?
17 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GLM-4.6 has 29.