Model comparison
GLM-4.5V vs Phi 3 Mini 4k Instruct
GLM-4.5V is the stronger model overall, scoring 39.2 to 27.4 on the Noometry Index.
Last verified . 13 shared benchmarks.
MicrosoftSummary
- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Phi 3 Mini 4k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5V leads 52.7 to 27.7.
Side by side
| GLM-4.5V | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 39.2 | 27.4 |
| Released | 2025-08-11 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 35 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 38.9 (#152), Phi 3 Mini 4k Instruct: 26.1 (#319)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1347 | 1093 |
| LiveBench Coding | — | 15.5% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Reasoning GLM-4.5V leads
GLM-4.5V: 26.5 (#118), Phi 3 Mini 4k Instruct: 13.6 (#326)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1072 |
| Kagi LLM Benchmark | 59.8% | — |
| 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 GLM-4.5V leads
GLM-4.5V: 34.7 (#157), Phi 3 Mini 4k Instruct: 24.5 (#258)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1353 | 1111 |
| LiveBench Math | — | 15.7% |
Knowledge GLM-4.5V leads
GLM-4.5V: 36.8 (#155), Phi 3 Mini 4k Instruct: 27.9 (#241)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1353 | 1045 |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), Phi 3 Mini 4k Instruct: —
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.9 (#172), Phi 3 Mini 4k Instruct: 26.5 (#275)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1304 | 1021 |
| LMArena Chinese | 1338 | 1021 |
| LMArena Russian | 1299 | 1022 |
| LMArena Spanish | 1335 | 1084 |
| LMArena French | — | 1075 |
| LMArena German | — | 1044 |
| LMArena Japanese | — | 935 |
| LMArena Korean | — | 905 |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.4 (#170), Phi 3 Mini 4k Instruct: 48.0 (#298)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1311 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#166), Phi 3 Mini 4k Instruct: 31.7 (#271)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1305 | 1044 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.7 (#162), Phi 3 Mini 4k Instruct: 27.7 (#295)
| Benchmark | GLM-4.5V | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1333 | 1073 |
| LMArena Creative Writing | 1295 | 1037 |
| LMArena Multi-Turn | 1333 | 1018 |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is GLM-4.5V better than Phi 3 Mini 4k Instruct?
GLM-4.5V is the stronger model overall, scoring 39.2 to 27.4 on the Noometry Index.
Is GLM-4.5V or Phi 3 Mini 4k Instruct better for coding?
GLM-4.5V scores higher on coding benchmarks: 38.9 versus 26.1 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Phi 3 Mini 4k Instruct share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.