Model comparison
Gemini 2.0 Flash (Feb 2025) vs GLM-4.5V
GLM-4.5V is the stronger model overall, scoring 39.8 to 35.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
GoogleSummary
- They share 15 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 4 categories and GLM-4.5V in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 15.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 59.8% for GLM-4.5V.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GLM-4.5V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 35.1 | 39.8 |
| Released | 2024-12-06 | 2025-08-11 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $1.80 |
| Results tracked | 54 | 15 |
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Category by category
Coding GLM-4.5V leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), GLM-4.5V: 39.5 (#155)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1350 | 1347 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| 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-4.5V: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning GLM-4.5V leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), GLM-4.5V: 27.4 (#119)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 59.8% |
| LMArena Hard Prompts | 1346 | 1334 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| Epoch Capabilities Index | 135.36 | — |
| LiveBench | 66.9% | — |
Math Too close to call
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), GLM-4.5V: 37.4 (#159)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Math | 1352 | 1354 |
| 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-4.5V leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), GLM-4.5V: 37.5 (#156)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1339 | 1353 |
| 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 Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), GLM-4.5V: 34.3 (#92)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Vision | 1158 | 1154 |
| GeoBench | 77% | — |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), GLM-4.5V: 44.6 (#177)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1342 | 1303 |
| LMArena Chinese | 1373 | 1337 |
| LMArena Russian | 1351 | 1298 |
| LMArena Spanish | 1363 | 1336 |
| LMArena French | 1391 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), GLM-4.5V: 69.2 (#175)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1336 | 1311 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context GLM-4.5V leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), GLM-4.5V: 39.6 (#171)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1344 | 1304 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GLM-4.5V leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), GLM-4.5V: 52.5 (#170)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5V |
|---|---|---|
| LMArena Text | 1354 | 1333 |
| LMArena Creative Writing | 1340 | 1295 |
| LMArena Multi-Turn | 1350 | 1332 |
| 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-4.5V?
GLM-4.5V is the stronger model overall, scoring 39.8 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GLM-4.5V better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GLM-4.5V share?
15 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-4.5V has 15.