Model comparison
GLM-5.3-Flash vs Phi 3 Mini 4k Instruct
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 27.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
MicrosoftSummary
- They share 18 benchmarks with published results for both. GLM-5.3-Flash 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-5.3-Flash leads 65.3 to 27.6.
- The biggest single-benchmark swing is Chess Puzzles: 14% for GLM-5.3-Flash and 0% for Phi 3 Mini 4k Instruct.
Side by side
| GLM-5.3-Flash | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 51.8 | 27.9 |
| Released | 2026-08-20 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 40 | 35 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#31), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1508 | 1093 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| LiveBench Coding | — | 15.5% |
| ALE-Bench | 303.55 | — |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.2 (#47), Phi 3 Mini 4k Instruct: —
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 48.0 (#42), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| Chess Puzzles | 14% | 0% |
| LMArena Hard Prompts | 1491 | 1072 |
| ARC-AGI-2 | 65.8% | — |
| ARC-AGI-1 | 91% | — |
| CritPt | 15.4% | — |
| LiveBench Reasoning | — | 26.8% |
| Mystery Game Puzzles | 8% | — |
| LiveBench Data Analysis | — | 34.7% |
| Surface Evolver Bench | 52.5% | — |
| Adversarial NLI | — | 52.8% |
| Bench to the Future 3 | 0.15 | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | 151.88 | — |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.3 (#47), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1500 | 1111 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |
| LiveBench Math | — | 15.7% |
Knowledge GLM-5.3-Flash leads
GLM-5.3-Flash: 58.4 (#36), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1513 | 1045 |
| GPQA Diamond | 90.2% | — |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multimodal Not comparable
GLM-5.3-Flash: 42.8 (#27), Phi 3 Mini 4k Instruct: —
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Vision | 1296 | — |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.0 (#25), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1462 | 1021 |
| LMArena Chinese | 1527 | 1021 |
| LMArena French | 1496 | 1076 |
| LMArena German | 1470 | 1044 |
| LMArena Japanese | 1429 | 935 |
| LMArena Korean | 1446 | 905 |
| LMArena Russian | 1469 | 1022 |
| LMArena Spanish | 1471 | 1085 |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.5 (#20), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1478 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context GLM-5.3-Flash leads
GLM-5.3-Flash: 45.4 (#39), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1482 | 1044 |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.3 (#50), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | GLM-5.3-Flash | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1471 | 1073 |
| LMArena Creative Writing | 1442 | 1037 |
| LMArena Multi-Turn | 1467 | 1018 |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is GLM-5.3-Flash better than Phi 3 Mini 4k Instruct?
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 27.9 on the Noometry Index.
Is GLM-5.3-Flash or Phi 3 Mini 4k Instruct better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 26.6 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and Phi 3 Mini 4k Instruct share?
18 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.