Model comparison
Gemini 2.0 Flash (Feb 2025) vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 41.3 to 35.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
GoogleSummary
- They share 12 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 2 categories and GLM-4.6V in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 15.2.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GLM-4.6V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 35.1 | 41.3 |
| Released | 2024-12-06 | 2025-12-08 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 54 | 12 |
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Category by category
Coding GLM-4.6V leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), GLM-4.6V: 40.9 (#128)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1350 | 1390 |
| 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-4.6V: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning GLM-4.6V leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), GLM-4.6V: 27.6 (#115)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1368 |
| 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 Not comparable
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), GLM-4.6V: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1352 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge GLM-4.6V leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), GLM-4.6V: 38.0 (#149)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1339 | 1371 |
| 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-4.6V: 34.8 (#90)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Vision | 1158 | 1164 |
| GeoBench | 77% | — |
Multilingual GLM-4.6V leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), GLM-4.6V: 48.6 (#141)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1342 | 1359 |
| LMArena Chinese | 1373 | 1425 |
| LMArena Russian | 1351 | 1340 |
| LMArena French | 1391 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
| LMArena Spanish | 1363 | — |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), GLM-4.6V: 71.4 (#151)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1336 | 1352 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context GLM-4.6V leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), GLM-4.6V: 41.3 (#143)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1344 | 1358 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GLM-4.6V leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), GLM-4.6V: 56.6 (#137)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.6V |
|---|---|---|
| LMArena Text | 1354 | 1377 |
| LMArena Creative Writing | 1340 | 1347 |
| LMArena Multi-Turn | 1350 | 1360 |
| 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-4.6V?
GLM-4.6V is the stronger model overall, scoring 41.3 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GLM-4.6V better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GLM-4.6V share?
12 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-4.6V has 12.