Model comparison
GLM-4.5V vs Phi 3 Small 8k Instruct
GLM-4.5V is the stronger model overall, scoring 39.8 to 29.3 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Phi 3 Small 8k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5V leads 52.5 to 31.1.
Side by side
| GLM-4.5V | Phi 3 Small 8k Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 39.8 | 29.3 |
| 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 | 32 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Phi 3 Small 8k Instruct: 27.9 (#318)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Coding | 1347 | 1101 |
| LiveBench Coding | — | 20.3% |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Phi 3 Small 8k Instruct: 14.8 (#323)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1100 |
| Kagi LLM Benchmark | 59.8% | — |
| LiveBench Reasoning | — | 15.9% |
| LiveBench Data Analysis | — | 30.3% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 79.1% |
| HellaSwag | — | 77% |
| LiveBench | — | 24% |
| WinoGrande | — | 81.5% |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Phi 3 Small 8k Instruct: 27.6 (#248)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Math | 1354 | 1151 |
| LiveBench Math | — | 17.6% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Phi 3 Small 8k Instruct: 29.1 (#240)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Expert | 1353 | 1067 |
| ARC (AI2) Challenge | — | 90.7% |
| MMLU | — | 75.7% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 58.1% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Phi 3 Small 8k Instruct: —
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Phi 3 Small 8k Instruct: 28.5 (#272)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Non-English | 1303 | 1058 |
| LMArena Chinese | 1337 | 1061 |
| LMArena Russian | 1298 | 1111 |
| LMArena Spanish | 1336 | 1111 |
| LMArena French | — | 1135 |
| LMArena German | — | 1080 |
| LMArena Japanese | — | 966 |
| LMArena Korean | — | 894 |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Phi 3 Small 8k Instruct: 51.9 (#292)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Instruction Following | 1311 | 1087 |
| LiveBench Instruction Following | — | 47.2% |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Phi 3 Small 8k Instruct: 33.0 (#267)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Longer Query | 1304 | 1088 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Phi 3 Small 8k Instruct: 31.1 (#284)
| Benchmark | GLM-4.5V | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Text | 1333 | 1110 |
| LMArena Creative Writing | 1295 | 1083 |
| LMArena Multi-Turn | 1332 | 1068 |
| LiveBench Language | — | 12.9% |
Frequently asked questions
Is GLM-4.5V better than Phi 3 Small 8k Instruct?
GLM-4.5V is the stronger model overall, scoring 39.8 to 29.3 on the Noometry Index.
Is GLM-4.5V or Phi 3 Small 8k Instruct better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 27.9 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Phi 3 Small 8k Instruct share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Phi 3 Small 8k Instruct has 32.