Model comparison
Claude 3.7 Sonnet vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 41.3 to 39.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 3 categories and GLM-4.6V in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 18.6.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | GLM-4.6V | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 39.5 | 41.3 |
| Released | 2025-02-24 | 2025-12-08 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 58 | 12 |
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Category by category
Coding Too close to call
Claude 3.7 Sonnet: 40.6 (#136), GLM-4.6V: 40.9 (#128)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1361 | 1390 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), GLM-4.6V: —
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning GLM-4.6V leads
Claude 3.7 Sonnet: 18.6 (#277), GLM-4.6V: 27.6 (#115)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1368 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Not comparable
Claude 3.7 Sonnet: 37.5 (#153), GLM-4.6V: —
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1337 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), GLM-4.6V: 38.0 (#149)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1321 | 1371 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
Multimodal GLM-4.6V leads
Claude 3.7 Sonnet: 33.7 (#95), GLM-4.6V: 34.8 (#90)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Vision | 1169 | 1164 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual GLM-4.6V leads
Claude 3.7 Sonnet: 44.1 (#179), GLM-4.6V: 48.6 (#141)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1296 | 1359 |
| LMArena Chinese | 1299 | 1425 |
| LMArena Russian | 1311 | 1340 |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Spanish | 1298 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), GLM-4.6V: 71.4 (#151)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1352 | 1352 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), GLM-4.6V: 41.3 (#143)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1373 | 1358 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference GLM-4.6V leads
Claude 3.7 Sonnet: 54.4 (#150), GLM-4.6V: 56.6 (#137)
| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Text | 1314 | 1377 |
| LMArena Creative Writing | 1332 | 1347 |
| LMArena Multi-Turn | 1339 | 1360 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than GLM-4.6V?
GLM-4.6V is the stronger model overall, scoring 41.3 to 39.5 on the Noometry Index.
Is Claude 3.7 Sonnet or GLM-4.6V better for coding?
They score almost the same on coding (40.6 vs 40.9); test both on your own repository before choosing.
How many benchmarks do Claude 3.7 Sonnet and GLM-4.6V share?
12 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and GLM-4.6V has 12.