Model comparison
Gemma 1.1 7b IT vs GLM-4.7-Flash
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.3 on the Noometry Index.
Last verified . 16 shared benchmarks.
GoogleSummary
- They share 16 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 0 categories and GLM-4.7-Flash in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.7-Flash leads 46.5 to 28.1.
Side by side
| Gemma 1.1 7b IT | GLM-4.7-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 31.3 | 38.8 |
| Released | — | 2026-01-19 |
| Weights | Open | Open |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.06 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 19 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
Gemma 1.1 7b IT: 31.5 (#284), GLM-4.7-Flash: 40.6 (#135)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1084 | 1383 |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Reasoning Too close to call
Gemma 1.1 7b IT: 20.5 (#238), GLM-4.7-Flash: 20.9 (#229)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1356 |
| Chess Puzzles | — | 0% |
Math GLM-4.7-Flash leads
Gemma 1.1 7b IT: 32.0 (#220), GLM-4.7-Flash: 36.1 (#173)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Math | 1107 | 1355 |
| OTIS Mock AIME 2024-2025 | — | 58.3% |
Knowledge GLM-4.7-Flash leads
Gemma 1.1 7b IT: 28.3 (#247), GLM-4.7-Flash: 35.5 (#184)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Expert | 1039 | 1357 |
| GPQA Diamond | — | 60.5% |
| Vectara Hallucination Rate | — | 9.3% |
Multilingual GLM-4.7-Flash leads
Gemma 1.1 7b IT: 28.1 (#273), GLM-4.7-Flash: 46.5 (#158)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 1052 | 1330 |
| LMArena Chinese | 1061 | 1403 |
| LMArena French | 1065 | 1332 |
| LMArena German | 1054 | 1337 |
| LMArena Korean | 988 | 1283 |
| LMArena Russian | 1046 | 1332 |
| LMArena Spanish | 1049 | 1350 |
| LMArena Japanese | 971 | — |
Instruction Following GLM-4.7-Flash leads
Gemma 1.1 7b IT: 54.0 (#283), GLM-4.7-Flash: 70.1 (#167)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 1057 | 1327 |
Long Context GLM-4.7-Flash leads
Gemma 1.1 7b IT: 32.1 (#272), GLM-4.7-Flash: 40.9 (#148)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1056 | 1345 |
Writing & Preference GLM-4.7-Flash leads
Gemma 1.1 7b IT: 30.4 (#288), GLM-4.7-Flash: 47.4 (#210)
| Benchmark | Gemma 1.1 7b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1094 | 1351 |
| LMArena Creative Writing | 1060 | 1297 |
| LMArena Multi-Turn | 1040 | 1342 |
| EQ-Bench Creative Writing | — | 1125 |
Frequently asked questions
Is Gemma 1.1 7b IT better than GLM-4.7-Flash?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.3 on the Noometry Index.
Is Gemma 1.1 7b IT or GLM-4.7-Flash better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 31.5 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and GLM-4.7-Flash share?
16 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GLM-4.7-Flash has 21.