Model comparison
Gemini 1.5 Pro (May 2024) vs GLM-4.5V
GLM-4.5V is the stronger model overall, scoring 39.8 to 32.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 3 categories and GLM-4.5V in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 12.3.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | GLM-4.5V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 32.1 | 39.8 |
| Released | 2024-02-15 | 2025-08-11 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $1.80 |
| Results tracked | 45 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5V leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), GLM-4.5V: 39.5 (#155)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1294 | 1347 |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Pro (May 2024): 17.9 (#145), GLM-4.5V: —
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning GLM-4.5V leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), GLM-4.5V: 27.4 (#119)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1334 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 59.8% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |
Math GLM-4.5V leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), GLM-4.5V: 37.4 (#159)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Math | 1315 | 1354 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
Knowledge GLM-4.5V leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), GLM-4.5V: 37.5 (#156)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1279 | 1353 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), GLM-4.5V: 34.3 (#92)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Vision | 1161 | 1154 |
| Video-MME | 75% | — |
Multilingual Too close to call
Gemini 1.5 Pro (May 2024): 45.3 (#174), GLM-4.5V: 44.6 (#177)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1312 | 1303 |
| LMArena Chinese | 1331 | 1337 |
| LMArena Russian | 1320 | 1298 |
| LMArena Spanish | 1311 | 1336 |
| LMArena French | 1302 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
Instruction Following Too close to call
Gemini 1.5 Pro (May 2024): 68.6 (#185), GLM-4.5V: 69.2 (#175)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1297 | 1311 |
| IFEval | 83.7% | — |
Long Context Too close to call
Gemini 1.5 Pro (May 2024): 39.8 (#169), GLM-4.5V: 39.6 (#171)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1308 | 1304 |
Writing & Preference Too close to call
Gemini 1.5 Pro (May 2024): 52.4 (#172), GLM-4.5V: 52.5 (#170)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.5V |
|---|---|---|
| LMArena Text | 1319 | 1333 |
| LMArena Creative Writing | 1333 | 1295 |
| LMArena Multi-Turn | 1296 | 1332 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GLM-4.5V?
GLM-4.5V is the stronger model overall, scoring 39.8 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GLM-4.5V better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GLM-4.5V share?
14 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GLM-4.5V has 15.