Model comparison
Gemini 1.0 Pro vs GLM-4.6
GLM-4.6 is the stronger model overall, scoring 41.4 to 27.3 on the Noometry Index.
Last verified . 16 shared benchmarks.
GoogleSummary
- They share 16 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 0 categories and GLM-4.6 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.6 leads 39.1 to 9.3.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.0 Pro | GLM-4.6 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 27.3 | 41.4 |
| Released | 2023-12-13 | 2025-09-30 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 24 | 29 |
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Category by category
Coding GLM-4.6 leads
Gemini 1.0 Pro: 32.2 (#275), GLM-4.6: 40.1 (#148)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1108 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |
Agentic & Tool Use Not comparable
Gemini 1.0 Pro: —, GLM-4.6: 32.3 (#66)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
Reasoning GLM-4.6 leads
Gemini 1.0 Pro: 17.1 (#296), GLM-4.6: 23.7 (#172)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
| DTBench | 45.9% | — |
| Epoch Capabilities Index | 117.04 | — |
Math GLM-4.6 leads
Gemini 1.0 Pro: 9.3 (#321), GLM-4.6: 39.1 (#111)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Math | 1132 | 1432 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 11.2% | — |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-4.6 leads
Gemini 1.0 Pro: 15.6 (#291), GLM-4.6: 40.2 (#124)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1059 | 1431 |
| GPQA Diamond | 34% | — |
| Vectara Hallucination Rate | — | 9.5% |
| MMLU | 70% | — |
Multilingual GLM-4.6 leads
Gemini 1.0 Pro: 33.4 (#252), GLM-4.6: 53.5 (#66)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1138 | 1426 |
| LMArena Chinese | 1124 | 1499 |
| LMArena French | 1145 | 1459 |
| LMArena German | 1125 | 1447 |
| LMArena Japanese | 1023 | 1393 |
| LMArena Russian | 1186 | 1419 |
| LMArena Spanish | 1119 | 1436 |
| LMArena Korean | — | 1400 |
Instruction Following GLM-4.6 leads
Gemini 1.0 Pro: 57.6 (#267), GLM-4.6: 74.3 (#98)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1114 | 1410 |
Long Context GLM-4.6 leads
Gemini 1.0 Pro: 34.3 (#249), GLM-4.6: 43.4 (#94)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1132 | 1422 |
Writing & Preference GLM-4.6 leads
Gemini 1.0 Pro: 36.0 (#264), GLM-4.6: 61.1 (#90)
| Benchmark | Gemini 1.0 Pro | GLM-4.6 |
|---|---|---|
| LMArena Text | 1149 | 1440 |
| LMArena Creative Writing | 1131 | 1411 |
| LMArena Multi-Turn | 1139 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
Frequently asked questions
Is Gemini 1.0 Pro better than GLM-4.6?
GLM-4.6 is the stronger model overall, scoring 41.4 to 27.3 on the Noometry Index.
Is Gemini 1.0 Pro or GLM-4.6 better for coding?
GLM-4.6 scores higher on coding benchmarks: 40.1 versus 32.2 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and GLM-4.6 share?
16 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and GLM-4.6 has 29.