Model comparison
Gemma 1.1 7b IT vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 41.3 to 31.3 on the Noometry Index.
Last verified . 11 shared benchmarks.
GoogleSummary
- They share 11 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 0 categories and GLM-4.6V in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 30.4.
Side by side
| Gemma 1.1 7b IT | GLM-4.6V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 31.3 | 41.3 |
| Released | — | 2025-12-08 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 19 | 12 |
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Category by category
Coding GLM-4.6V leads
Gemma 1.1 7b IT: 31.5 (#284), GLM-4.6V: 40.9 (#128)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1084 | 1390 |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Reasoning GLM-4.6V leads
Gemma 1.1 7b IT: 20.5 (#238), GLM-4.6V: 27.6 (#115)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1368 |
Math Not comparable
Gemma 1.1 7b IT: 32.0 (#220), GLM-4.6V: —
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Math | 1107 | — |
Knowledge GLM-4.6V leads
Gemma 1.1 7b IT: 28.3 (#247), GLM-4.6V: 38.0 (#149)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1039 | 1371 |
Multimodal Not comparable
Gemma 1.1 7b IT: —, GLM-4.6V: 34.8 (#90)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |
Multilingual GLM-4.6V leads
Gemma 1.1 7b IT: 28.1 (#273), GLM-4.6V: 48.6 (#141)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1052 | 1359 |
| LMArena Chinese | 1061 | 1425 |
| LMArena Russian | 1046 | 1340 |
| LMArena French | 1065 | — |
| LMArena German | 1054 | — |
| LMArena Japanese | 971 | — |
| LMArena Korean | 988 | — |
| LMArena Spanish | 1049 | — |
Instruction Following GLM-4.6V leads
Gemma 1.1 7b IT: 54.0 (#283), GLM-4.6V: 71.4 (#151)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1057 | 1352 |
Long Context GLM-4.6V leads
Gemma 1.1 7b IT: 32.1 (#272), GLM-4.6V: 41.3 (#143)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1056 | 1358 |
Writing & Preference GLM-4.6V leads
Gemma 1.1 7b IT: 30.4 (#288), GLM-4.6V: 56.6 (#137)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6V |
|---|---|---|
| LMArena Text | 1094 | 1377 |
| LMArena Creative Writing | 1060 | 1347 |
| LMArena Multi-Turn | 1040 | 1360 |
Frequently asked questions
Is Gemma 1.1 7b IT better than GLM-4.6V?
GLM-4.6V is the stronger model overall, scoring 41.3 to 31.3 on the Noometry Index.
Is Gemma 1.1 7b IT or GLM-4.6V better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 31.5 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and GLM-4.6V share?
11 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GLM-4.6V has 12.