Model comparison
Claude 3.5 Sonnet vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 40.9 to 34.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 0 categories and GLM-4.6V in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.6V leads 37.4 to 28.5.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | GLM-4.6V | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 34.4 | 40.9 |
| Released | 2024-06-20 | 2025-12-08 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 60 | 12 |
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Category by category
Coding Too close to call
Claude 3.5 Sonnet: 39.5 (#145), GLM-4.6V: 40.2 (#128)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1343 | 1390 |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| BigCodeBench Instruct | 46.8% | — |
| LiveBench Coding | 67.1% | — |
| BigCodeBench Complete | 58.6% | — |
| CadEval | 48% | — |
| HumanEval+ | 81.7% | — |
| MBPP+ | 74.3% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Sonnet: 32.1 (#61), GLM-4.6V: —
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning GLM-4.6V leads
Claude 3.5 Sonnet: 22.5 (#176), GLM-4.6V: 26.5 (#117)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1368 |
| SimpleBench | 41.4% | — |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| DTBench | 67.8% | — |
| LiveBench Data Analysis | 55% | — |
| Epoch Capabilities Index | 133.55 | — |
| ForecastBench | 60.7 | — |
| LiveBench | 59% | — |
Math Not comparable
Claude 3.5 Sonnet: 18.0 (#282), GLM-4.6V: —
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| LMArena Math | 1306 | — |
| MATH Level 5 | 56.9% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.6V leads
Claude 3.5 Sonnet: 28.5 (#236), GLM-4.6V: 37.4 (#148)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1264 | 1372 |
| GPQA Diamond | 55.3% | — |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| GPQA (HELM) | 56.5% | — |
| MMLU | 87.3% | — |
Multimodal GLM-4.6V leads
Claude 3.5 Sonnet: 26.0 (#115), GLM-4.6V: 34.2 (#83)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Vision | 1125 | 1164 |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual GLM-4.6V leads
Claude 3.5 Sonnet: 43.4 (#180), GLM-4.6V: 48.8 (#135)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1283 | 1359 |
| LMArena Chinese | 1271 | 1426 |
| LMArena Russian | 1305 | 1341 |
| LMArena French | 1304 | — |
| LMArena German | 1297 | — |
| LMArena Japanese | 1234 | — |
| LMArena Korean | 1200 | — |
| LMArena Spanish | 1289 | — |
Instruction Following GLM-4.6V leads
Claude 3.5 Sonnet: 69.0 (#177), GLM-4.6V: 71.6 (#145)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1297 | 1351 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context GLM-4.6V leads
Claude 3.5 Sonnet: 39.9 (#162), GLM-4.6V: 41.3 (#138)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1311 | 1358 |
Writing & Preference GLM-4.6V leads
Claude 3.5 Sonnet: 53.0 (#159), GLM-4.6V: 56.8 (#132)
| Benchmark | Claude 3.5 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Text | 1298 | 1377 |
| LMArena Creative Writing | 1292 | 1347 |
| LMArena Multi-Turn | 1326 | 1359 |
| Short-Story Creative Writing | 80.3% | — |
| EQ-Bench Creative Writing | 1451 | — |
| WildBench | 79.2% | — |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than GLM-4.6V?
GLM-4.6V is the stronger model overall, scoring 40.9 to 34.4 on the Noometry Index.
Is Claude 3.5 Sonnet or GLM-4.6V better for coding?
They score almost the same on coding (39.5 vs 40.2); test both on your own repository before choosing.
How many benchmarks do Claude 3.5 Sonnet and GLM-4.6V share?
12 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and GLM-4.6V has 12.