Model comparison
GLM-5V-Turbo vs phi-3-medium 14B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where GLM-5V-Turbo leads 40.6 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | phi-3-medium 14B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 43.8 | 29.7 |
| Released | 2026-04-01 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 13 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), phi-3-medium 14B: 36.8 (#201)
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena WebDev | 1401 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1466 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
GLM-5V-Turbo: 29.7 (#89), phi-3-medium 14B: —
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1443 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), phi-3-medium 14B: 27.3 (#250)
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1441 | — |
| MATH Level 5 | — | 17.6% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), phi-3-medium 14B: 9.1 (#306)
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1452 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), phi-3-medium 14B: —
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.0 (#73), phi-3-medium 14B: —
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1488 | — |
| LMArena French | 1444 | — |
| LMArena German | 1423 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1431 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Not comparable
GLM-5V-Turbo: 75.0 (#80), phi-3-medium 14B: —
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#80), phi-3-medium 14B: —
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1438 | — |
Writing & Preference Not comparable
GLM-5V-Turbo: 62.5 (#73), phi-3-medium 14B: —
| Benchmark | GLM-5V-Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than phi-3-medium 14B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 29.7 on the Noometry Index.
Is GLM-5V-Turbo or phi-3-medium 14B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 36.8 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and phi-3-medium 14B share?
0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and phi-3-medium 14B has 13.