Model comparison
Gemini 2.0 Flash-Lite vs GLM-5V-Turbo
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 0 categories and GLM-5V-Turbo in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 51.7.
Side by side
| Gemini 2.0 Flash-Lite | GLM-5V-Turbo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.8 | 43.8 |
| Released | 2025-02-05 | 2026-04-01 |
| Weights | Proprietary | Proprietary |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $4 |
| Results tracked | 32 | 19 |
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Category by category
Coding GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 37.9 (#185), GLM-5V-Turbo: 42.1 (#111)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Coding | 1322 | 1466 |
| LMArena WebDev | — | 1401 |
| LiveBench Coding | 47.1% | — |
Reasoning GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 22.0 (#210), GLM-5V-Turbo: 29.7 (#89)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1443 |
| LiveBench Reasoning | 50.1% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 65.5% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |
Math GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 34.1 (#196), GLM-5V-Turbo: 39.4 (#106)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | 1309 | 1441 |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
Knowledge GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 35.0 (#189), GLM-5V-Turbo: 40.6 (#117)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Expert | 1305 | 1452 |
| MMLU-Pro | 72% | — |
| GPQA (HELM) | 50% | — |
Multimodal GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 31.2 (#109), GLM-5V-Turbo: 40.9 (#42)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Vision | 1100 | 1264 |
| LMArena Document | — | 1416 |
Multilingual GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 46.0 (#161), GLM-5V-Turbo: 53.0 (#73)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | 1323 | 1420 |
| LMArena Chinese | 1339 | 1488 |
| LMArena French | 1347 | 1444 |
| LMArena German | 1306 | 1423 |
| LMArena Korean | 1325 | 1396 |
| LMArena Russian | 1328 | 1431 |
| LMArena Spanish | 1313 | 1450 |
| LMArena Japanese | 1301 | — |
Instruction Following GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 70.4 (#163), GLM-5V-Turbo: 75.0 (#80)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | 1305 | 1423 |
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |
Long Context GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 40.1 (#160), GLM-5V-Turbo: 44.0 (#80)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | 1320 | 1438 |
Writing & Preference GLM-5V-Turbo leads
Gemini 2.0 Flash-Lite: 51.7 (#177), GLM-5V-Turbo: 62.5 (#73)
| Benchmark | Gemini 2.0 Flash-Lite | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | 1330 | 1437 |
| LMArena Creative Writing | 1319 | 1416 |
| LMArena Multi-Turn | 1307 | 1432 |
| WildBench | 79% | — |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than GLM-5V-Turbo?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.8 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or GLM-5V-Turbo better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 37.9 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and GLM-5V-Turbo share?
17 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GLM-5V-Turbo has 19.