Model comparison
Gemini 3 Pro vs GLM-5.3
Gemini 3 Pro and GLM-5.3 score almost the same on the Noometry Index (54.8 vs 54.8), so choose on price, context window or the category you care about most.
Last verified . 29 shared benchmarks.
GoogleSummary
- They share 29 benchmarks with published results for both. Gemini 3 Pro scores higher in 4 categories and GLM-5.3 in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.3 to 49.9.
- The biggest single-benchmark swing is ProofBench: 20% for Gemini 3 Pro and 49% for GLM-5.3.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| Gemini 3 Pro | GLM-5.3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 54.8 | 54.8 |
| Released | 2025-11-18 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $4.40 |
| Results tracked | 67 | 42 |
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Category by category
Coding GLM-5.3 leads
Gemini 3 Pro: 51.6 (#39), GLM-5.3: 59.5 (#14)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| LMArena WebDev | 1440 | 1622 |
| WeirdML | 69.9% | 75.4% |
| LMArena Coding | 1481 | 1496 |
| ALE-Bench | 1,177 | 1,317 |
| SWE-bench Verified | 72.9% | — |
| DeepSWE | — | 69% |
| FrontierCode | — | 40.1% |
| SWE-bench Verified (bash only) | 74.2% | — |
| CursorBench | — | 42.6% |
| SWE-bench Multilingual | 68.7% | — |
| FrontierSWE | — | 30.2% |
| SciCode | — | 59% |
| GSO | 18.6% | — |
| AlgoTune | 1.83 | — |
Agentic & Tool Use Gemini 3 Pro leads
Gemini 3 Pro: 40.6 (#23), GLM-5.3: 36.4 (#38)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| Vending-Bench 2 | 5,478 | 8,164 |
| Terminal-Bench | 69.4% | — |
| APEX-Agents | — | 56.6% |
| Berkeley Function Calling Leaderboard | 72.5% | — |
| GDPval | 40.3% | — |
| Remote Labor Index | 1.3% | — |
| τ²-bench Airline | 80.5% | — |
| τ²-bench Banking | 18% | — |
| τ²-bench Retail | 75.9% | — |
| τ²-bench Telecom | 91% | — |
| DeepResearch Bench | 46.3% | — |
| BALROG | 58.1% | — |
| LMArena Search | 1207 | — |
| METR Time Horizons | 71% | — |
Reasoning Gemini 3 Pro leads
Gemini 3 Pro: 52.5 (#31), GLM-5.3: 46.1 (#46)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| NYT Connections (extended) | 94.4% | 74.2% |
| CritPt | 6.9% | 19.1% |
| Chess Puzzles | 31% | 21% |
| LMArena Hard Prompts | 1480 | 1489 |
| Epoch Capabilities Index | 152.92 | 155.61 |
| ARC-AGI-2 | 31.1% | — |
| SimpleBench | 76.4% | — |
| Kagi LLM Benchmark | 80.1% | — |
| ARC-AGI-1 | 75% | — |
| EnigmaEval | 18.2% | — |
| Mystery Game Puzzles | — | 33% |
| DTBench | — | 87.7% |
| LMCA | — | 55.5% |
| Bench to the Future 3 | — | 0.15 |
| ForecastBench | 61.2 | — |
Math GLM-5.3 leads
Gemini 3 Pro: 49.9 (#59), GLM-5.3: 62.3 (#33)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.4% | 91.1% |
| ProofBench | 20% | 49% |
| LMArena Math | 1476 | 1489 |
| FrontierMath (Tiers 1-3) | — | 68.8% |
| FrontierMath Tier 4 | — | 29.3% |
| MathArena Final-Answer Competitions | 67% | — |
| Omni-MATH | 55.5% | — |
| FrontierMath (Feb 2025 set) | 37.6% | — |
| FrontierMath Tier 4 (v1) | 18.8% | — |
Knowledge Gemini 3 Pro leads
Gemini 3 Pro: 64.4 (#16), GLM-5.3: 58.3 (#37)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| GPQA Diamond | 92.6% | 90.9% |
| LMArena Expert | 1475 | 1516 |
| Humanity's Last Exam | 37.5% | — |
| SimpleQA Verified | — | 41% |
| MMLU-Pro | 90.3% | — |
| Vectara Hallucination Rate | 13.6% | — |
| GPQA (HELM) | 80.3% | — |
Multimodal Not comparable
Gemini 3 Pro: 57.6 (#2), GLM-5.3: —
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| LMArena Vision | 1305 | — |
| GeoBench | 84% | — |
| VPCT | 91% | — |
| LMArena Document | 1434 | — |
Multilingual Gemini 3 Pro leads
Gemini 3 Pro: 56.9 (#16), GLM-5.3: 55.7 (#28)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| LMArena Non-English | 1474 | 1457 |
| LMArena Chinese | 1523 | 1528 |
| LMArena French | 1492 | 1499 |
| LMArena German | 1515 | 1499 |
| LMArena Japanese | 1510 | 1453 |
| LMArena Korean | 1448 | 1472 |
| LMArena Russian | 1493 | 1463 |
| LMArena Spanish | 1470 | 1460 |
Instruction Following GLM-5.3 leads
Gemini 3 Pro: 76.3 (#45), GLM-5.3: 77.5 (#23)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | 1458 | 1477 |
| IFEval | 87.7% | — |
Long Context GLM-5.3 leads
Gemini 3 Pro: 44.0 (#79), GLM-5.3: 45.4 (#41)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | 1471 | 1482 |
| CL-bench | 15.8% | — |
Writing & Preference GLM-5.3 leads
Gemini 3 Pro: 66.4 (#35), GLM-5.3: 75.7 (#6)
| Benchmark | Gemini 3 Pro | GLM-5.3 |
|---|---|---|
| LMArena Text | 1479 | 1471 |
| LMArena Creative Writing | 1482 | 1457 |
| EQ-Bench Creative Writing | 1525 | 2075 |
| LMArena Multi-Turn | 1484 | 1472 |
| WildBench | 85.9% | — |
Frequently asked questions
Is Gemini 3 Pro better than GLM-5.3?
Gemini 3 Pro and GLM-5.3 score almost the same on the Noometry Index (54.8 vs 54.8), so choose on price, context window or the category you care about most.
Is Gemini 3 Pro or GLM-5.3 better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.5 versus 51.6 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and GLM-5.3 share?
29 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and GLM-5.3 has 42.