Model comparison
Claude 3.5 Sonnet vs GLM-4.5V
GLM-4.5V is the stronger model overall, scoring 39.8 to 34.6 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 2 categories and GLM-4.5V in 7 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5V leads 37.4 to 19.2.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | GLM-4.5V | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 34.6 | 39.8 |
| Released | 2024-06-20 | 2025-08-11 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $1.80 |
| Results tracked | 60 | 15 |
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Category by category
Coding Too close to call
Claude 3.5 Sonnet: 39.0 (#165), GLM-4.5V: 39.5 (#155)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1342 | 1347 |
| 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: 32.3 (#67), GLM-4.5V: —
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning GLM-4.5V leads
Claude 3.5 Sonnet: 23.1 (#183), GLM-4.5V: 27.4 (#119)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1334 |
| SimpleBench | 41.4% | — |
| Kagi LLM Benchmark | — | 59.8% |
| 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 GLM-4.5V leads
Claude 3.5 Sonnet: 19.2 (#288), GLM-4.5V: 37.4 (#159)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Math | 1307 | 1354 |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| MATH Level 5 | 56.9% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.5V leads
Claude 3.5 Sonnet: 28.6 (#245), GLM-4.5V: 37.5 (#156)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1265 | 1353 |
| 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-4.5V leads
Claude 3.5 Sonnet: 26.5 (#120), GLM-4.5V: 34.3 (#92)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Vision | 1125 | 1154 |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual GLM-4.5V leads
Claude 3.5 Sonnet: 43.2 (#185), GLM-4.5V: 44.6 (#177)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1283 | 1303 |
| LMArena Chinese | 1272 | 1337 |
| LMArena Russian | 1306 | 1298 |
| LMArena Spanish | 1290 | 1336 |
| LMArena French | 1305 | — |
| LMArena German | 1297 | — |
| LMArena Japanese | 1234 | — |
| LMArena Korean | 1200 | — |
Instruction Following Too close to call
Claude 3.5 Sonnet: 68.8 (#182), GLM-4.5V: 69.2 (#175)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1297 | 1311 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context Too close to call
Claude 3.5 Sonnet: 39.9 (#167), GLM-4.5V: 39.6 (#171)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1311 | 1304 |
Writing & Preference Too close to call
Claude 3.5 Sonnet: 52.9 (#164), GLM-4.5V: 52.5 (#170)
| Benchmark | Claude 3.5 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Text | 1298 | 1333 |
| LMArena Creative Writing | 1292 | 1295 |
| LMArena Multi-Turn | 1326 | 1332 |
| 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-4.5V?
GLM-4.5V is the stronger model overall, scoring 39.8 to 34.6 on the Noometry Index.
Is Claude 3.5 Sonnet or GLM-4.5V better for coding?
They score almost the same on coding (39.0 vs 39.5); test both on your own repository before choosing.
How many benchmarks do Claude 3.5 Sonnet and GLM-4.5V share?
14 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and GLM-4.5V has 15.