Model comparison
GLM-5V-Turbo vs Phi-4
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 31.2 on the Noometry Index. Phi-4 costs 22× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
MicrosoftSummary
- They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Phi-4 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 40.5.
- Phi-4 is cheaper at $0.07 / $0.14 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 has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Phi-4 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 43.8 | 31.2 |
| Released | 2026-04-01 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 131K | 4K |
| Input $ / M tokens | $1.20 | $0.07 |
| Output $ / M tokens | $4 | $0.14 |
| Results tracked | 19 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Phi-4: 34.4 (#239)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Coding | 1466 | 1231 |
| LMArena WebDev | 1401 | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Phi-4: 22.8 (#128)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Phi-4: 17.7 (#291)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1220 |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 47.8% |
| LiveBench Data Analysis | — | 45.2% |
| Epoch Capabilities Index | — | 130.42 |
| LiveBench | — | 41.6% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Phi-4: 20.8 (#285)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Math | 1441 | 1246 |
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Phi-4: 32.6 (#209)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Expert | 1452 | 1203 |
| GPQA Diamond | — | 56.1% |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| MMLU | — | 84.8% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Phi-4: —
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Phi-4: 37.2 (#237)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Non-English | 1420 | 1197 |
| LMArena Chinese | 1488 | 1212 |
| LMArena French | 1444 | 1224 |
| LMArena German | 1423 | 1222 |
| LMArena Korean | 1396 | 1151 |
| LMArena Russian | 1431 | 1209 |
| LMArena Spanish | 1450 | 1234 |
| LMArena Japanese | — | 1158 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Phi-4: 60.4 (#251)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1423 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Phi-4: 36.9 (#226)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1438 | 1217 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Phi-4: 40.5 (#244)
| Benchmark | GLM-5V-Turbo | Phi-4 |
|---|---|---|
| LMArena Text | 1437 | 1217 |
| LMArena Creative Writing | 1416 | 1182 |
| LMArena Multi-Turn | 1432 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| LiveBench Language | — | 25.6% |
Frequently asked questions
Is GLM-5V-Turbo better than Phi-4?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 31.2 on the Noometry Index. Phi-4 costs 22× 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?
Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or Phi-4 better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 34.4 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 share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Phi-4 has 37.