Model comparison
GLM-4.6V vs Phi 3 Mini 4k Instruct
GLM-4.6V is the stronger model overall, scoring 41.3 to 27.9 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 4k 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 27.6.
Side by side
| GLM-4.6V | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 41.3 | 27.9 |
| 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 | 35 |
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Category by category
Coding GLM-4.6V leads
GLM-4.6V: 40.9 (#128), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1390 | 1093 |
| LiveBench Coding | — | 15.5% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1072 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 26.8% |
| LiveBench Data Analysis | — | 34.7% |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math Not comparable
GLM-4.6V: —, Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LiveBench Math | — | 15.7% |
| LMArena Math | — | 1111 |
Knowledge GLM-4.6V leads
GLM-4.6V: 38.0 (#149), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1371 | 1045 |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Phi 3 Mini 4k Instruct: —
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual GLM-4.6V leads
GLM-4.6V: 48.6 (#141), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1359 | 1021 |
| LMArena Chinese | 1425 | 1021 |
| LMArena Russian | 1340 | 1022 |
| LMArena French | — | 1076 |
| LMArena German | — | 1044 |
| LMArena Japanese | — | 935 |
| LMArena Korean | — | 905 |
| LMArena Spanish | — | 1085 |
Instruction Following GLM-4.6V leads
GLM-4.6V: 71.4 (#151), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1352 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context GLM-4.6V leads
GLM-4.6V: 41.3 (#143), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1358 | 1044 |
Writing & Preference GLM-4.6V leads
GLM-4.6V: 56.6 (#137), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | GLM-4.6V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1377 | 1073 |
| LMArena Creative Writing | 1347 | 1037 |
| LMArena Multi-Turn | 1360 | 1018 |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is GLM-4.6V better than Phi 3 Mini 4k Instruct?
GLM-4.6V is the stronger model overall, scoring 41.3 to 27.9 on the Noometry Index.
Is GLM-4.6V or Phi 3 Mini 4k Instruct better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 26.6 in the Noometry coding category.
How many benchmarks do GLM-4.6V and Phi 3 Mini 4k Instruct share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.