Model comparison
Gemini 2.0 Flash (Feb 2025) vs GLM-4.5-Air
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 34.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
GoogleSummary
- They share 24 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 2 categories and GLM-4.5-Air in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5-Air leads 23.3 to 15.2.
- The biggest single-benchmark swing is Omni-MATH: 45.9% for Gemini 2.0 Flash (Feb 2025) and 39.1% for GLM-4.5-Air.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 34.8 | 38.7 |
| Released | 2024-12-06 | 2025-07-20 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.20 |
| Output $ / M tokens | — | $1.10 |
| Results tracked | 54 | 27 |
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Category by category
Coding GLM-4.5-Air leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), GLM-4.5-Air: 34.5 (#225)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1351 | 1397 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| GSO | — | 2.9% |
| 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): 28.0 (#85), GLM-4.5-Air: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning GLM-4.5-Air leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), GLM-4.5-Air: 23.3 (#166)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 43% |
| LMArena Hard Prompts | 1346 | 1379 |
| 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 | — |
| ForecastBench | — | 59.2 |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), GLM-4.5-Air: 33.8 (#166)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| Omni-MATH | 45.9% | 39.1% |
| LMArena Math | 1351 | 1396 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge GLM-4.5-Air leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), GLM-4.5-Air: 34.6 (#184)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| Humanity's Last Exam | 6.6% | 8.1% |
| MMLU-Pro | 73.7% | 76.2% |
| GPQA (HELM) | 55.6% | 59.4% |
| LMArena Expert | 1340 | 1370 |
| GPQA Diamond | 64.1% | — |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 9.3% |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), GLM-4.5-Air: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual GLM-4.5-Air leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), GLM-4.5-Air: 49.4 (#130)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1342 | 1366 |
| LMArena Chinese | 1373 | 1427 |
| LMArena French | 1390 | 1399 |
| LMArena German | 1354 | 1376 |
| LMArena Japanese | 1293 | 1348 |
| LMArena Korean | 1314 | 1306 |
| LMArena Russian | 1351 | 1373 |
| LMArena Spanish | 1363 | 1385 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), GLM-4.5-Air: 69.8 (#165)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| IFEval | 84.1% | 81.2% |
| LMArena Instruction Following | 1336 | 1353 |
| LiveBench Instruction Following | 85.8% | — |
Long Context GLM-4.5-Air leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), GLM-4.5-Air: 41.6 (#130)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1345 | 1367 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GLM-4.5-Air leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), GLM-4.5-Air: 56.1 (#134)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1354 | 1384 |
| LMArena Creative Writing | 1340 | 1343 |
| WildBench | 80% | 78.9% |
| LMArena Multi-Turn | 1350 | 1371 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GLM-4.5-Air?
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 34.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GLM-4.5-Air better for coding?
GLM-4.5-Air scores higher on coding benchmarks: 34.5 versus 28.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GLM-4.5-Air share?
24 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GLM-4.5-Air has 27.