Model comparison
Gemini 1.5 Pro (May 2024) vs GLM-4.7
GLM-4.7 is the stronger model overall, scoring 42.0 to 32.1 on the Noometry Index.
Last verified . 21 shared benchmarks.
GoogleSummary
- They share 21 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and GLM-4.7 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 29.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 83.3% for GLM-4.7.
- GLM-4.7 has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | GLM-4.7 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 32.1 | 42.0 |
| Released | 2024-02-15 | 2025-12-22 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 45 | 36 |
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Category by category
Coding GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), GLM-4.7: 44.0 (#79)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Coding | 1294 | 1454 |
| LMArena WebDev | — | 1435 |
| SciCode | — | 45.1% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 399.48 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), GLM-4.7: 26.5 (#103)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
| Vending-Bench 2 | — | 2,377 |
Reasoning GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), GLM-4.7: 24.3 (#164)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| SimpleBench | 27.1% | 47.7% |
| LMArena Hard Prompts | 1296 | 1443 |
| Epoch Capabilities Index | 131.73 | 143.51 |
| ARC-AGI-2 | 0.8% | — |
| CritPt | — | 1.7% |
| Chess Puzzles | — | 6% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), GLM-4.7: 38.6 (#135)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 83.3% |
| LMArena Math | 1315 | 1423 |
| ProofBench | — | 6% |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), GLM-4.7: 47.0 (#80)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| GPQA Diamond | 57.2% | 83.3% |
| LMArena Expert | 1279 | 1424 |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 32.2% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 11.7% |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), GLM-4.7: —
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), GLM-4.7: 52.8 (#79)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1312 | 1417 |
| LMArena Chinese | 1331 | 1495 |
| LMArena French | 1302 | 1432 |
| LMArena German | 1286 | 1424 |
| LMArena Japanese | 1292 | 1439 |
| LMArena Korean | 1298 | 1399 |
| LMArena Russian | 1320 | 1423 |
| LMArena Spanish | 1311 | 1434 |
Instruction Following GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), GLM-4.7: 74.4 (#95)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1411 |
| IFEval | 83.7% | — |
Long Context GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), GLM-4.7: 42.8 (#116)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1308 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |
Writing & Preference GLM-4.7 leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), GLM-4.7: 60.9 (#93)
| Benchmark | Gemini 1.5 Pro (May 2024) | GLM-4.7 |
|---|---|---|
| LMArena Text | 1319 | 1435 |
| LMArena Creative Writing | 1333 | 1401 |
| LMArena Multi-Turn | 1296 | 1446 |
| EQ-Bench Creative Writing | — | 1413 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GLM-4.7?
GLM-4.7 is the stronger model overall, scoring 42.0 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GLM-4.7 better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GLM-4.7 share?
21 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GLM-4.7 has 36.