Model comparison
Claude 3 Sonnet vs GLM-4.5V
GLM-4.5V is the stronger model overall, scoring 39.8 to 29.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Claude 3 Sonnet scores higher in 0 categories and GLM-4.5V in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5V leads 37.4 to 10.7.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Sonnet | GLM-4.5V | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 29.0 | 39.8 |
| Released | 2024-02-29 | 2025-08-11 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $1.80 |
| Results tracked | 30 | 15 |
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Category by category
Coding GLM-4.5V leads
Claude 3 Sonnet: 29.6 (#302), GLM-4.5V: 39.5 (#155)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1223 | 1347 |
| WeirdML | 10.2% | — |
| BigCodeBench Instruct | 42.7% | — |
| BigCodeBench Complete | 53.8% | — |
| HumanEval+ | 64% | — |
| MBPP+ | 69.3% | — |
Reasoning GLM-4.5V leads
Claude 3 Sonnet: 20.5 (#237), GLM-4.5V: 27.4 (#119)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Hard Prompts | 1197 | 1334 |
| Kagi LLM Benchmark | — | 59.8% |
| DTBench | 53.6% | — |
| Epoch Capabilities Index | 120.7 | — |
| WinoGrande | 75.1% | — |
Math GLM-4.5V leads
Claude 3 Sonnet: 10.7 (#310), GLM-4.5V: 37.4 (#159)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Math | 1213 | 1354 |
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| MATH Level 5 | 18.2% | — |
Knowledge GLM-4.5V leads
Claude 3 Sonnet: 21.1 (#276), GLM-4.5V: 37.5 (#156)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1173 | 1353 |
| GPQA Diamond | 40.6% | — |
| MMLU | 75.9% | — |
Multimodal GLM-4.5V leads
Claude 3 Sonnet: 25.2 (#125), GLM-4.5V: 34.3 (#92)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Vision | 984 | 1154 |
Multilingual GLM-4.5V leads
Claude 3 Sonnet: 37.8 (#234), GLM-4.5V: 44.6 (#177)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1205 | 1303 |
| LMArena Chinese | 1189 | 1337 |
| LMArena Russian | 1227 | 1298 |
| LMArena Spanish | 1204 | 1336 |
| LMArena French | 1229 | — |
| LMArena German | 1204 | — |
| LMArena Japanese | 1131 | — |
| LMArena Korean | 1128 | — |
Instruction Following GLM-4.5V leads
Claude 3 Sonnet: 62.8 (#235), GLM-4.5V: 69.2 (#175)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1199 | 1311 |
Long Context GLM-4.5V leads
Claude 3 Sonnet: 36.7 (#228), GLM-4.5V: 39.6 (#171)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1211 | 1304 |
Writing & Preference GLM-4.5V leads
Claude 3 Sonnet: 42.1 (#238), GLM-4.5V: 52.5 (#170)
| Benchmark | Claude 3 Sonnet | GLM-4.5V |
|---|---|---|
| LMArena Text | 1218 | 1333 |
| LMArena Creative Writing | 1186 | 1295 |
| LMArena Multi-Turn | 1227 | 1332 |
Frequently asked questions
Is Claude 3 Sonnet better than GLM-4.5V?
GLM-4.5V is the stronger model overall, scoring 39.8 to 29.0 on the Noometry Index.
Is Claude 3 Sonnet or GLM-4.5V better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 29.6 in the Noometry coding category.
How many benchmarks do Claude 3 Sonnet and GLM-4.5V share?
14 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and GLM-4.5V has 15.