Model comparison
Gemma 1.1 7b IT vs GLM-4.5-Air
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 31.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 0 categories and GLM-4.5-Air in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 30.4.
Side by side
| Gemma 1.1 7b IT | GLM-4.5-Air | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 31.3 | 38.9 |
| Released | — | 2025-07-20 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.20 |
| Output $ / M tokens | — | $1.10 |
| Results tracked | 19 | 27 |
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Category by category
Coding GLM-4.5-Air leads
Gemma 1.1 7b IT: 31.5 (#284), GLM-4.5-Air: 33.3 (#259)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1084 | 1397 |
| GSO | — | 2.9% |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Reasoning GLM-4.5-Air leads
Gemma 1.1 7b IT: 20.5 (#238), GLM-4.5-Air: 24.1 (#166)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1379 |
| Kagi LLM Benchmark | — | 43% |
| ForecastBench | — | 59.2 |
Math GLM-4.5-Air leads
Gemma 1.1 7b IT: 32.0 (#220), GLM-4.5-Air: 36.2 (#170)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Math | 1107 | 1396 |
| Omni-MATH | — | 39.1% |
Knowledge GLM-4.5-Air leads
Gemma 1.1 7b IT: 28.3 (#247), GLM-4.5-Air: 35.0 (#191)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Expert | 1039 | 1370 |
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | — | 76.2% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 59.4% |
Multilingual GLM-4.5-Air leads
Gemma 1.1 7b IT: 28.1 (#273), GLM-4.5-Air: 49.1 (#135)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1052 | 1366 |
| LMArena Chinese | 1061 | 1426 |
| LMArena French | 1065 | 1399 |
| LMArena German | 1054 | 1377 |
| LMArena Japanese | 971 | 1348 |
| LMArena Korean | 988 | 1308 |
| LMArena Russian | 1046 | 1373 |
| LMArena Spanish | 1049 | 1386 |
Instruction Following GLM-4.5-Air leads
Gemma 1.1 7b IT: 54.0 (#283), GLM-4.5-Air: 69.6 (#171)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Instruction Following | 1057 | 1354 |
| IFEval | — | 81.2% |
Long Context GLM-4.5-Air leads
Gemma 1.1 7b IT: 32.1 (#272), GLM-4.5-Air: 41.6 (#135)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1056 | 1366 |
Writing & Preference GLM-4.5-Air leads
Gemma 1.1 7b IT: 30.4 (#288), GLM-4.5-Air: 55.9 (#139)
| Benchmark | Gemma 1.1 7b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1094 | 1384 |
| LMArena Creative Writing | 1060 | 1343 |
| LMArena Multi-Turn | 1040 | 1371 |
| WildBench | — | 78.9% |
Frequently asked questions
Is Gemma 1.1 7b IT better than GLM-4.5-Air?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 31.3 on the Noometry Index.
Is Gemma 1.1 7b IT or GLM-4.5-Air better for coding?
GLM-4.5-Air scores higher on coding benchmarks: 33.3 versus 31.5 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and GLM-4.5-Air share?
17 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GLM-4.5-Air has 27.