Model comparison
Claude 3 Opus vs GLM-4.6
GLM-4.6 is the stronger model overall, scoring 41.4 to 29.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Claude 3 Opus scores higher in 0 categories and GLM-4.6 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.6 leads 39.1 to 14.8.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Opus | GLM-4.6 | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 29.5 | 41.4 |
| Released | 2024-02-29 | 2025-09-30 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 46 | 29 |
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Category by category
Coding GLM-4.6 leads
Claude 3 Opus: 32.9 (#267), GLM-4.6: 40.1 (#148)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1264 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| WeirdML | 19.2% | — |
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 38.6% | — |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use GLM-4.6 leads
Claude 3 Opus: 24.6 (#116), GLM-4.6: 32.3 (#66)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
| Cybench | 10% | — |
| METR Time Horizons | 29.5% | — |
Reasoning GLM-4.6 leads
Claude 3 Opus: 14.6 (#324), GLM-4.6: 23.7 (#172)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1245 | 1440 |
| SimpleBench | 23.5% | — |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
| Chess Puzzles | 5% | — |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 40.6% | — |
| DTBench | 61.6% | — |
| LiveBench Data Analysis | 57.9% | — |
| LMCA | 17% | — |
| Epoch Capabilities Index | 126.91 | — |
| ForecastBench | 58.4 | — |
| LiveBench | 49.2% | — |
| WinoGrande | 88.5% | — |
Math GLM-4.6 leads
Claude 3 Opus: 14.8 (#299), GLM-4.6: 39.1 (#111)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Math | 1273 | 1432 |
| OTIS Mock AIME 2024-2025 | 4.7% | — |
| LiveBench Math | 43.6% | — |
| MATH Level 5 | 37.5% | — |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-4.6 leads
Claude 3 Opus: 24.5 (#267), GLM-4.6: 40.2 (#124)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1223 | 1431 |
| GPQA Diamond | 47.2% | — |
| SimpleQA Verified | 12.6% | — |
| Confabulations | 22.7% | — |
| Vectara Hallucination Rate | — | 9.5% |
| MMLU | 84.6% | — |
Multimodal Not comparable
Claude 3 Opus: 27.1 (#116), GLM-4.6: —
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Vision | 1023 | — |
Multilingual GLM-4.6 leads
Claude 3 Opus: 41.4 (#207), GLM-4.6: 53.5 (#66)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1258 | 1426 |
| LMArena Chinese | 1248 | 1499 |
| LMArena French | 1275 | 1459 |
| LMArena German | 1258 | 1447 |
| LMArena Japanese | 1204 | 1393 |
| LMArena Korean | 1187 | 1400 |
| LMArena Russian | 1280 | 1419 |
| LMArena Spanish | 1246 | 1436 |
Instruction Following GLM-4.6 leads
Claude 3 Opus: 64.1 (#228), GLM-4.6: 74.3 (#98)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1248 | 1410 |
| LiveBench Instruction Following | 63.9% | — |
Long Context GLM-4.6 leads
Claude 3 Opus: 38.2 (#202), GLM-4.6: 43.4 (#94)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1259 | 1422 |
Writing & Preference GLM-4.6 leads
Claude 3 Opus: 47.2 (#213), GLM-4.6: 61.1 (#90)
| Benchmark | Claude 3 Opus | GLM-4.6 |
|---|---|---|
| LMArena Text | 1262 | 1440 |
| LMArena Creative Writing | 1235 | 1411 |
| LMArena Multi-Turn | 1275 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
| LiveBench Language | 50.4% | — |
Frequently asked questions
Is Claude 3 Opus better than GLM-4.6?
GLM-4.6 is the stronger model overall, scoring 41.4 to 29.5 on the Noometry Index.
Is Claude 3 Opus or GLM-4.6 better for coding?
GLM-4.6 scores higher on coding benchmarks: 40.1 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3 Opus and GLM-4.6 share?
17 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and GLM-4.6 has 29.