Model comparison
GLM-5 vs Phi 3 Mini 4k Instruct
GLM-5 is the stronger model overall, scoring 46.1 to 27.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
MicrosoftSummary
- They share 18 benchmarks with published results for both. GLM-5 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 leads 66.0 to 27.6.
- The biggest single-benchmark swing is Chess Puzzles: 10% for GLM-5 and 0% for Phi 3 Mini 4k Instruct.
Side by side
| GLM-5 | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Microsoft |
| Noometry Index | 46.1 | 27.9 |
| Released | 2026-02-11 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 45 | 35 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1461 | 1093 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| WeirdML | 48.2% | — |
| LiveBench Coding | — | 15.5% |
| ALE-Bench | 765.62 | — |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Agentic & Tool Use Not comparable
GLM-5: 31.1 (#71), Phi 3 Mini 4k Instruct: —
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#116), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| Chess Puzzles | 10% | 0% |
| LMArena Hard Prompts | 1452 | 1072 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| LiveBench Reasoning | — | 26.8% |
| LiveBench Data Analysis | — | 34.7% |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | 145.83 | — |
| ForecastBench | 61 | — |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math GLM-5 leads
GLM-5: 46.4 (#71), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1440 | 1111 |
| MathArena Final-Answer Competitions | 65.7% | — |
| OTIS Mock AIME 2024-2025 | 80% | — |
| LiveBench Math | — | 15.7% |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1454 | 1045 |
| GPQA Diamond | 87.8% | — |
| Vectara Hallucination Rate | 10.1% | — |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1430 | 1021 |
| LMArena Chinese | 1511 | 1021 |
| LMArena French | 1455 | 1076 |
| LMArena German | 1445 | 1044 |
| LMArena Japanese | 1416 | 935 |
| LMArena Korean | 1423 | 905 |
| LMArena Russian | 1436 | 1022 |
| LMArena Spanish | 1454 | 1085 |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1428 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1446 | 1044 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | GLM-5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1446 | 1073 |
| LMArena Creative Writing | 1439 | 1037 |
| LMArena Multi-Turn | 1456 | 1018 |
| EQ-Bench Creative Writing | 1601 | — |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is GLM-5 better than Phi 3 Mini 4k Instruct?
GLM-5 is the stronger model overall, scoring 46.1 to 27.9 on the Noometry Index.
Is GLM-5 or Phi 3 Mini 4k Instruct better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 26.6 in the Noometry coding category.
How many benchmarks do GLM-5 and Phi 3 Mini 4k Instruct share?
18 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.