Model comparison
Gemma 1.1 2b IT vs GLM-4.7-Flash
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.3 on the Noometry Index.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Gemma 1.1 2b IT scores higher in 0 categories and GLM-4.7-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.7-Flash leads 47.4 to 25.1.
Side by side
| Gemma 1.1 2b IT | GLM-4.7-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 29.3 | 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 | 16 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
Gemma 1.1 2b IT: 30.1 (#299), GLM-4.7-Flash: 40.6 (#135)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1034 | 1383 |
| HumanEval+ | 17.7% | — |
| MBPP+ | 23.3% | — |
Reasoning GLM-4.7-Flash leads
Gemma 1.1 2b IT: 19.1 (#270), GLM-4.7-Flash: 20.9 (#229)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1005 | 1356 |
| Chess Puzzles | — | 0% |
Math GLM-4.7-Flash leads
Gemma 1.1 2b IT: 30.8 (#232), GLM-4.7-Flash: 36.1 (#173)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Math | 1047 | 1355 |
| OTIS Mock AIME 2024-2025 | — | 58.3% |
Knowledge GLM-4.7-Flash leads
Gemma 1.1 2b IT: 26.5 (#258), GLM-4.7-Flash: 35.5 (#184)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Expert | 970 | 1357 |
| GPQA Diamond | — | 60.5% |
| Vectara Hallucination Rate | — | 9.3% |
Multilingual GLM-4.7-Flash leads
Gemma 1.1 2b IT: 24.6 (#289), GLM-4.7-Flash: 46.5 (#158)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 988 | 1330 |
| LMArena Chinese | 1012 | 1403 |
| LMArena German | 944 | 1337 |
| LMArena Korean | 899 | 1283 |
| LMArena Russian | 990 | 1332 |
| LMArena French | — | 1332 |
| LMArena Spanish | — | 1350 |
Instruction Following GLM-4.7-Flash leads
Gemma 1.1 2b IT: 49.9 (#299), GLM-4.7-Flash: 70.1 (#167)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 992 | 1327 |
Long Context GLM-4.7-Flash leads
Gemma 1.1 2b IT: 30.6 (#286), GLM-4.7-Flash: 40.9 (#148)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1003 | 1345 |
Writing & Preference GLM-4.7-Flash leads
Gemma 1.1 2b IT: 25.1 (#306), GLM-4.7-Flash: 47.4 (#210)
| Benchmark | Gemma 1.1 2b IT | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1022 | 1351 |
| LMArena Creative Writing | 998 | 1297 |
| LMArena Multi-Turn | 959 | 1342 |
| EQ-Bench Creative Writing | — | 1125 |
Frequently asked questions
Is Gemma 1.1 2b IT better than GLM-4.7-Flash?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.3 on the Noometry Index.
Is Gemma 1.1 2b IT or GLM-4.7-Flash better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 30.1 in the Noometry coding category.
How many benchmarks do Gemma 1.1 2b IT and GLM-4.7-Flash share?
14 benchmarks have published results for both models. Gemma 1.1 2b IT has 16 scored results on Noometry and GLM-4.7-Flash has 21.