Model comparison
Gemma 2B vs GLM-4.7-Flash
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
GoogleSummary
- They share 11 benchmarks with published results for both. Gemma 2B scores higher in 0 categories and GLM-4.7-Flash in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.7-Flash leads 46.5 to 23.0.
Side by side
| Gemma 2B | GLM-4.7-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 29.6 | 38.8 |
| Released | 2024-02-21 | 2026-01-19 |
| Weights | Open | Open |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.06 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 23 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
Gemma 2B: 29.4 (#305), GLM-4.7-Flash: 40.6 (#135)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1010 | 1383 |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |
Reasoning GLM-4.7-Flash leads
Gemma 2B: 18.8 (#275), GLM-4.7-Flash: 20.9 (#229)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 989 | 1356 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | 35.2% | — |
| Epoch Capabilities Index | 94.2 | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |
Math GLM-4.7-Flash leads
Gemma 2B: 30.0 (#239), GLM-4.7-Flash: 36.1 (#173)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| LMArena Math | 1009 | 1355 |
| OTIS Mock AIME 2024-2025 | — | 58.3% |
| GSM8K | 17.7% | — |
Knowledge Not comparable
Gemma 2B: —, GLM-4.7-Flash: 35.5 (#184)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| GPQA Diamond | — | 60.5% |
| Vectara Hallucination Rate | — | 9.3% |
| LMArena Expert | — | 1357 |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |
Multilingual GLM-4.7-Flash leads
Gemma 2B: 23.0 (#294), GLM-4.7-Flash: 46.5 (#158)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 958 | 1330 |
| LMArena Chinese | 986 | 1403 |
| LMArena Russian | 937 | 1332 |
| LMArena French | — | 1332 |
| LMArena German | — | 1337 |
| LMArena Korean | — | 1283 |
| LMArena Spanish | — | 1350 |
Instruction Following GLM-4.7-Flash leads
Gemma 2B: 48.5 (#302), GLM-4.7-Flash: 70.1 (#167)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 970 | 1327 |
Long Context GLM-4.7-Flash leads
Gemma 2B: 29.9 (#291), GLM-4.7-Flash: 40.9 (#148)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 981 | 1345 |
Writing & Preference GLM-4.7-Flash leads
Gemma 2B: 24.0 (#308), GLM-4.7-Flash: 47.4 (#210)
| Benchmark | Gemma 2B | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1002 | 1351 |
| LMArena Creative Writing | 987 | 1297 |
| LMArena Multi-Turn | 945 | 1342 |
| EQ-Bench Creative Writing | — | 1125 |
Frequently asked questions
Is Gemma 2B better than GLM-4.7-Flash?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.6 on the Noometry Index.
Is Gemma 2B or GLM-4.7-Flash better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2B and GLM-4.7-Flash share?
11 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and GLM-4.7-Flash has 21.