Model comparison
GLM-4.6V vs Phi 3 Mini 128k Instruct
GLM-4.6V is the stronger model overall, scoring 41.3 to 29.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
MicrosoftSummary
- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 7 categories and Phi 3 Mini 128k Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 27.1.
Side by side
| GLM-4.6V | Phi 3 Mini 128k Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 41.3 | 29.7 |
| Released | 2025-12-08 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 12 | 19 |
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Category by category
Coding GLM-4.6V leads
GLM-4.6V: 40.9 (#128), Phi 3 Mini 128k Instruct: 28.8 (#312)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Coding | 1390 | 1039 |
| BigCodeBench Instruct | — | 29.6% |
| BigCodeBench Complete | — | 40.6% |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Phi 3 Mini 128k Instruct: 19.6 (#256)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1028 |
Math Not comparable
GLM-4.6V: —, Phi 3 Mini 128k Instruct: 31.6 (#222)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Math | — | 1089 |
Knowledge GLM-4.6V leads
GLM-4.6V: 38.0 (#149), Phi 3 Mini 128k Instruct: 26.8 (#254)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Expert | 1371 | 984 |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Phi 3 Mini 128k Instruct: —
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual GLM-4.6V leads
GLM-4.6V: 48.6 (#141), Phi 3 Mini 128k Instruct: 25.2 (#285)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Non-English | 1359 | 1000 |
| LMArena Chinese | 1425 | 1016 |
| LMArena Russian | 1340 | 1004 |
| LMArena French | — | 1039 |
| LMArena German | — | 1006 |
| LMArena Japanese | — | 899 |
| LMArena Korean | — | 856 |
| LMArena Spanish | — | 1059 |
Instruction Following GLM-4.6V leads
GLM-4.6V: 71.4 (#151), Phi 3 Mini 128k Instruct: 51.8 (#294)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Instruction Following | 1352 | 1023 |
Long Context GLM-4.6V leads
GLM-4.6V: 41.3 (#143), Phi 3 Mini 128k Instruct: 30.4 (#289)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Longer Query | 1358 | 996 |
Writing & Preference GLM-4.6V leads
GLM-4.6V: 56.6 (#137), Phi 3 Mini 128k Instruct: 27.1 (#301)
| Benchmark | GLM-4.6V | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Text | 1377 | 1050 |
| LMArena Creative Writing | 1347 | 1024 |
| LMArena Multi-Turn | 1360 | 989 |
Frequently asked questions
Is GLM-4.6V better than Phi 3 Mini 128k Instruct?
GLM-4.6V is the stronger model overall, scoring 41.3 to 29.7 on the Noometry Index.
Is GLM-4.6V or Phi 3 Mini 128k Instruct better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 28.8 in the Noometry coding category.
How many benchmarks do GLM-4.6V and Phi 3 Mini 128k Instruct share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Phi 3 Mini 128k Instruct has 19.