Model comparison
Gemini 2.0 Flash (Feb 2025) vs GLM-5V-Turbo
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 35.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GLM-5V-Turbo in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 15.2.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 35.1 | 43.8 |
| Released | 2024-12-06 | 2026-04-01 |
| Weights | Proprietary | Proprietary |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $4 |
| Results tracked | 54 | 19 |
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Category by category
Coding GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), GLM-5V-Turbo: 42.1 (#111)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Coding | 1350 | 1466 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| LMArena WebDev | — | 1401 |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), GLM-5V-Turbo: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), GLM-5V-Turbo: 29.7 (#89)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1443 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| Epoch Capabilities Index | 135.36 | — |
| LiveBench | 66.9% | — |
Math GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), GLM-5V-Turbo: 39.4 (#106)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | 1352 | 1441 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), GLM-5V-Turbo: 40.6 (#117)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Expert | 1339 | 1452 |
| GPQA Diamond | 64.1% | — |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), GLM-5V-Turbo: 40.9 (#42)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Vision | 1158 | 1264 |
| GeoBench | 77% | — |
| LMArena Document | — | 1416 |
Multilingual GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), GLM-5V-Turbo: 53.0 (#73)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | 1342 | 1420 |
| LMArena Chinese | 1373 | 1488 |
| LMArena French | 1391 | 1444 |
| LMArena German | 1353 | 1423 |
| LMArena Korean | 1313 | 1396 |
| LMArena Russian | 1351 | 1431 |
| LMArena Spanish | 1363 | 1450 |
| LMArena Japanese | 1294 | — |
Instruction Following Too close to call
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), GLM-5V-Turbo: 75.0 (#80)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | 1336 | 1423 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), GLM-5V-Turbo: 44.0 (#80)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | 1344 | 1438 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GLM-5V-Turbo leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), GLM-5V-Turbo: 62.5 (#73)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | 1354 | 1437 |
| LMArena Creative Writing | 1340 | 1416 |
| LMArena Multi-Turn | 1350 | 1432 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GLM-5V-Turbo?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GLM-5V-Turbo better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GLM-5V-Turbo share?
17 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-5V-Turbo has 19.