Model comparison
GLM-4.5 vs GLM-4.6V
GLM-4.5 and GLM-4.6V score almost the same on the Noometry Index (41.4 vs 40.9), so choose on price, context window or the category you care about most.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and GLM-4.6V in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 53.0 to 48.8.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
Side by side
| GLM-4.5 | GLM-4.6V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 41.4 | 40.9 |
| Released | 2025-07-27 | 2025-12-08 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 98K | 33K |
| Input $ / M tokens | $0.60 | $0.30 |
| Output $ / M tokens | $2.20 | $0.90 |
| Results tracked | 27 | 12 |
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Category by category
Coding Too close to call
GLM-4.5: 41.1 (#121), GLM-4.6V: 40.2 (#128)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1434 | 1390 |
| 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: 27.7 (#99), GLM-4.6V: 26.5 (#117)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1368 |
| Kagi LLM Benchmark | 57.9% | — |
Math Not comparable
GLM-4.5: 36.3 (#119), GLM-4.6V: —
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge GLM-4.6V leads
GLM-4.5: 35.5 (#172), GLM-4.6V: 37.4 (#148)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1433 | 1372 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multimodal Not comparable
GLM-4.5: —, GLM-4.6V: 34.2 (#83)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |
Multilingual GLM-4.5 leads
GLM-4.5: 53.0 (#74), GLM-4.6V: 48.8 (#135)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1417 | 1359 |
| LMArena Chinese | 1465 | 1426 |
| LMArena Russian | 1414 | 1341 |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.3 (#100), GLM-4.6V: 71.6 (#145)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1405 | 1351 |
Long Context GLM-4.6V leads
GLM-4.5: 38.2 (#196), GLM-4.6V: 41.3 (#138)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1413 | 1358 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Too close to call
GLM-4.5: 57.7 (#121), GLM-4.6V: 56.8 (#132)
| Benchmark | GLM-4.5 | GLM-4.6V |
|---|---|---|
| LMArena Text | 1430 | 1377 |
| LMArena Creative Writing | 1395 | 1347 |
| LMArena Multi-Turn | 1415 | 1359 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than GLM-4.6V?
GLM-4.5 and GLM-4.6V score almost the same on the Noometry Index (41.4 vs 40.9), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5 or GLM-4.6V?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or GLM-4.6V better for coding?
They score almost the same on coding (41.1 vs 40.2); test both on your own repository before choosing.
Which has the bigger context window?
GLM-4.5 does, with 131K tokens against 128K.
How many benchmarks do GLM-4.5 and GLM-4.6V share?
11 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GLM-4.6V has 12.