Model comparison
Gemini 3 Deep Think vs GLM-4.5-Air
GLM-4.5-Air has enough public results to be ranked (#169); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in reasoning, where Gemini 3 Deep Think leads 70.8 to 23.3.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| Gemini 3 Deep Think | GLM-4.5-Air | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 58.5 | 38.7 |
| Released | 2026-02-12 | 2025-07-20 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.20 |
| Output $ / M tokens | — | $1.10 |
| Results tracked | 3 | 27 |
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Category by category
Coding Not comparable
Gemini 3 Deep Think: —, GLM-4.5-Air: 34.5 (#225)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| GSO | — | 2.9% |
| LMArena Coding | — | 1397 |
Reasoning Gemini 3 Deep Think leads
Gemini 3 Deep Think: 70.8 (#11), GLM-4.5-Air: 23.3 (#166)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| Kagi LLM Benchmark | — | 43% |
| ARC-AGI-1 | 96% | — |
| CritPt | 25.7% | — |
| LMArena Hard Prompts | — | 1379 |
| ForecastBench | — | 59.2 |
Math Not comparable
Gemini 3 Deep Think: —, GLM-4.5-Air: 33.8 (#166)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| Omni-MATH | — | 39.1% |
| LMArena Math | — | 1396 |
Knowledge Not comparable
Gemini 3 Deep Think: —, GLM-4.5-Air: 34.6 (#184)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | — | 76.2% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 59.4% |
| LMArena Expert | — | 1370 |
Multilingual Not comparable
Gemini 3 Deep Think: —, GLM-4.5-Air: 49.4 (#130)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | — | 1366 |
| LMArena Chinese | — | 1427 |
| LMArena French | — | 1399 |
| LMArena German | — | 1376 |
| LMArena Japanese | — | 1348 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1373 |
| LMArena Spanish | — | 1385 |
Instruction Following Not comparable
Gemini 3 Deep Think: —, GLM-4.5-Air: 69.8 (#165)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| IFEval | — | 81.2% |
| LMArena Instruction Following | — | 1353 |
Long Context Not comparable
Gemini 3 Deep Think: —, GLM-4.5-Air: 41.6 (#130)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | — | 1367 |
Writing & Preference Not comparable
Gemini 3 Deep Think: —, GLM-4.5-Air: 56.1 (#134)
| Benchmark | Gemini 3 Deep Think | GLM-4.5-Air |
|---|---|---|
| LMArena Text | — | 1384 |
| LMArena Creative Writing | — | 1343 |
| WildBench | — | 78.9% |
| LMArena Multi-Turn | — | 1371 |
Frequently asked questions
Is Gemini 3 Deep Think better than GLM-4.5-Air?
GLM-4.5-Air has enough public results to be ranked (#169); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
How many benchmarks do Gemini 3 Deep Think and GLM-4.5-Air share?
0 benchmarks have published results for both models. Gemini 3 Deep Think has 3 scored results on Noometry and GLM-4.5-Air has 27.