Model comparison
Gemma 2 9B vs GLM-4.7-Flash
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 25.9 on the Noometry Index.
Last verified . 19 shared benchmarks.
GoogleSummary
- They share 19 benchmarks with published results for both. Gemma 2 9B 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 math, where GLM-4.7-Flash leads 36.1 to 9.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.6% for Gemma 2 9B and 58.3% for GLM-4.7-Flash.
Side by side
| Gemma 2 9B | GLM-4.7-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 25.9 | 38.8 |
| Released | 2024-06-24 | 2026-01-19 |
| Weights | Open | Open |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.06 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 35 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
Gemma 2 9B: 29.4 (#304), GLM-4.7-Flash: 40.6 (#135)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1173 | 1383 |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
Reasoning GLM-4.7-Flash leads
Gemma 2 9B: 15.9 (#309), GLM-4.7-Flash: 20.9 (#229)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1171 | 1356 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 15.2% | — |
| LiveBench Data Analysis | 36.4% | — |
| Epoch Capabilities Index | 119.83 | — |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math GLM-4.7-Flash leads
Gemma 2 9B: 9.9 (#318), GLM-4.7-Flash: 36.1 (#173)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 58.3% |
| LMArena Math | 1183 | 1355 |
| LiveBench Math | 19.8% | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |
Knowledge GLM-4.7-Flash leads
Gemma 2 9B: 9.7 (#305), GLM-4.7-Flash: 35.5 (#184)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| GPQA Diamond | 27.5% | 60.5% |
| LMArena Expert | 1147 | 1357 |
| Vectara Hallucination Rate | — | 9.3% |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multilingual GLM-4.7-Flash leads
Gemma 2 9B: 36.6 (#238), GLM-4.7-Flash: 46.5 (#158)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 1188 | 1330 |
| LMArena Chinese | 1185 | 1403 |
| LMArena French | 1190 | 1332 |
| LMArena German | 1186 | 1337 |
| LMArena Korean | 1137 | 1283 |
| LMArena Russian | 1200 | 1332 |
| LMArena Spanish | 1200 | 1350 |
| LMArena Japanese | 1144 | — |
Instruction Following GLM-4.7-Flash leads
Gemma 2 9B: 57.6 (#269), GLM-4.7-Flash: 70.1 (#167)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 1178 | 1327 |
| LiveBench Instruction Following | 52.6% | — |
Long Context GLM-4.7-Flash leads
Gemma 2 9B: 36.3 (#233), GLM-4.7-Flash: 40.9 (#148)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1197 | 1345 |
Writing & Preference GLM-4.7-Flash leads
Gemma 2 9B: 32.1 (#281), GLM-4.7-Flash: 47.4 (#210)
| Benchmark | Gemma 2 9B | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1207 | 1351 |
| LMArena Creative Writing | 1206 | 1297 |
| EQ-Bench Creative Writing | 841 | 1125 |
| LMArena Multi-Turn | 1193 | 1342 |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than GLM-4.7-Flash?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 25.9 on the Noometry Index.
Is Gemma 2 9B 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 2 9B and GLM-4.7-Flash share?
19 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and GLM-4.7-Flash has 21.