Model comparison
GLM-4.5 vs GLM-4.5V
GLM-4.5 is the stronger model overall, scoring 42.0 to 39.8 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and GLM-4.5V in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 52.8 to 44.6.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.5 accepts more context: 131K tokens versus 64K.
Side by side
| GLM-4.5 | GLM-4.5V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 42.0 | 39.8 |
| Released | 2025-07-27 | 2025-08-11 |
| Weights | Open | Open |
| Context window | 131K | 64K |
| Max output | 98K | 16K |
| Input $ / M tokens | $0.60 | $0.60 |
| Output $ / M tokens | $2.20 | $1.80 |
| Results tracked | 27 | 15 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), GLM-4.5V: 39.5 (#155)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1434 | 1347 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), GLM-4.5V: 27.4 (#119)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 59.8% |
| LMArena Hard Prompts | 1429 | 1334 |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), GLM-4.5V: 37.4 (#159)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Math | 1427 | 1354 |
Knowledge GLM-4.5V leads
GLM-4.5: 35.9 (#179), GLM-4.5V: 37.5 (#156)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1433 | 1353 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multimodal Not comparable
GLM-4.5: —, GLM-4.5V: 34.3 (#92)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Vision | — | 1154 |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), GLM-4.5V: 44.6 (#177)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1417 | 1303 |
| LMArena Chinese | 1465 | 1337 |
| LMArena Russian | 1414 | 1298 |
| LMArena Spanish | 1454 | 1336 |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), GLM-4.5V: 69.2 (#175)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1404 | 1311 |
Long Context GLM-4.5V leads
GLM-4.5: 38.2 (#201), GLM-4.5V: 39.6 (#171)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1412 | 1304 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), GLM-4.5V: 52.5 (#170)
| Benchmark | GLM-4.5 | GLM-4.5V |
|---|---|---|
| LMArena Text | 1430 | 1333 |
| LMArena Creative Writing | 1395 | 1295 |
| LMArena Multi-Turn | 1415 | 1332 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than GLM-4.5V?
GLM-4.5 is the stronger model overall, scoring 42.0 to 39.8 on the Noometry Index.
Which is cheaper, GLM-4.5 or GLM-4.5V?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or GLM-4.5V better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 39.5 in the Noometry coding category.
Which has the bigger context window?
GLM-4.5 does, with 131K tokens against 64K.
How many benchmarks do GLM-4.5 and GLM-4.5V share?
14 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GLM-4.5V has 15.