Model comparison
GLM-4.5-Air vs phi-3-medium 14B
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where GLM-4.5-Air leads 34.6 to 9.1.
Side by side
| GLM-4.5-Air | phi-3-medium 14B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 38.7 | 29.1 |
| Released | 2025-07-20 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 13 |
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Category by category
Coding phi-3-medium 14B leads
GLM-4.5-Air: 34.5 (#225), phi-3-medium 14B: 36.3 (#198)
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| GSO | 2.9% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1397 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
GLM-4.5-Air: 23.3 (#166), phi-3-medium 14B: —
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| LMArena Hard Prompts | 1379 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| ForecastBench | 59.2 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math GLM-4.5-Air leads
GLM-4.5-Air: 33.8 (#166), phi-3-medium 14B: 25.2 (#249)
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
| MATH Level 5 | — | 17.6% |
Knowledge GLM-4.5-Air leads
GLM-4.5-Air: 34.6 (#184), phi-3-medium 14B: 9.1 (#301)
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
GLM-4.5-Air: 49.4 (#130), phi-3-medium 14B: —
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| 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
GLM-4.5-Air: 69.8 (#165), phi-3-medium 14B: —
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1353 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#130), phi-3-medium 14B: —
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1367 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 56.1 (#134), phi-3-medium 14B: —
| Benchmark | GLM-4.5-Air | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than phi-3-medium 14B?
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 29.1 on the Noometry Index.
Is GLM-4.5-Air or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 34.5 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and phi-3-medium 14B share?
0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and phi-3-medium 14B has 13.