Model comparison
GLM-5V-Turbo vs Phi-4 Mini
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 14× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where GLM-5V-Turbo leads 40.6 to 25.3.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
- Phi-4 Mini has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Phi-4 Mini | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 43.8 | 30.9 |
| Released | 2026-04-01 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 131K | 4K |
| Input $ / M tokens | $1.20 | $0.075 |
| Output $ / M tokens | $4 | $0.30 |
| Results tracked | 19 | 3 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Phi-4 Mini: 28.1 (#317)
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| LMArena WebDev | 1401 | — |
| SciCode | — | 10.8% |
| LMArena Coding | 1466 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Phi-4 Mini: 22.4 (#195)
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1443 | — |
Math Not comparable
GLM-5V-Turbo: 39.4 (#106), Phi-4 Mini: —
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| LMArena Math | 1441 | — |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Phi-4 Mini: 25.3 (#262)
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| Vectara Hallucination Rate | — | 23.5% |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Phi-4 Mini: —
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.0 (#73), Phi-4 Mini: —
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| 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-4 Mini: —
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#80), Phi-4 Mini: —
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1438 | — |
Writing & Preference Not comparable
GLM-5V-Turbo: 62.5 (#73), Phi-4 Mini: —
| Benchmark | GLM-5V-Turbo | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than Phi-4 Mini?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 14× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or Phi-4 Mini?
Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or Phi-4 Mini better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 128K.
How many benchmarks do GLM-5V-Turbo and Phi-4 Mini share?
0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Phi-4 Mini has 3.