Model comparison
GLM-5.2 vs Qwen3-4B
GLM-5.2 is the stronger model overall, scoring 50.9 to 31.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. GLM-5.2 scores higher in 4 categories and Qwen3-4B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.2 leads 55.4 to 28.5.
- The biggest single-benchmark swing is GPQA Diamond: 91.9% for GLM-5.2 and 52.3% for Qwen3-4B.
Side by side
| GLM-5.2 | Qwen3-4B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 50.9 | 31.5 |
| Released | 2026-06-13 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 50 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
GLM-5.2: 50.9 (#37), Qwen3-4B: —
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| SWE-bench Verified | 78.7% | — |
| DeepSWE | 43.8% | — |
| FrontierCode | 24.5% | — |
| LMArena WebDev | 1604 | — |
| SciCode | 50.5% | — |
| WeirdML | 70.1% | — |
| LMArena Coding | 1484 | — |
| ALE-Bench | 1,047 | — |
Agentic & Tool Use GLM-5.2 leads
GLM-5.2: 31.6 (#63), Qwen3-4B: 27.3 (#94)
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 31.7% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 8,314 | — |
Reasoning GLM-5.2 leads
GLM-5.2: 42.1 (#46), Qwen3-4B: 18.5 (#264)
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| Chess Puzzles | 21% | 4% |
| ARC-AGI-2 | 22.8% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 62.6% | — |
| NYT Connections (extended) | 74.3% | — |
| ARC-AGI-1 | 77% | — |
| CritPt | 20.9% | — |
| EBR-Bench | 9.5% | — |
| LMArena Hard Prompts | 1480 | — |
| Mystery Game Puzzles | 19% | — |
| DTBench | 93.6% | — |
| LMCA | 45.8% | — |
| Surface Evolver Bench | 55.6% | — |
| Epoch Capabilities Index | 151.76 | — |
Math GLM-5.2 leads
GLM-5.2: 55.4 (#35), Qwen3-4B: 28.5 (#228)
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | 67.6% | 38.5% |
| OTIS Mock AIME 2024-2025 | 86.4% | 52.2% |
| FrontierMath (Tiers 1-3) | 59.2% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 35% | — |
| LMArena Math | 1482 | — |
Knowledge GLM-5.2 leads
GLM-5.2: 57.1 (#36), Qwen3-4B: 33.0 (#198)
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| GPQA Diamond | 91.9% | 52.3% |
| SimpleQA Verified | 34.2% | — |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1484 | — |
Multilingual Not comparable
GLM-5.2: 56.0 (#25), Qwen3-4B: —
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1459 | — |
| LMArena Chinese | 1518 | — |
| LMArena French | 1476 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1451 | — |
| LMArena Korean | 1445 | — |
| LMArena Russian | 1467 | — |
| LMArena Spanish | 1477 | — |
Instruction Following Not comparable
GLM-5.2: 77.1 (#32), Qwen3-4B: —
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1465 | — |
Long Context Not comparable
GLM-5.2: 45.3 (#43), Qwen3-4B: —
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
GLM-5.2: 70.7 (#20), Qwen3-4B: —
| Benchmark | GLM-5.2 | Qwen3-4B |
|---|---|---|
| LMArena Text | 1470 | — |
| LMArena Creative Writing | 1465 | — |
| EQ-Bench Creative Writing | 1757 | — |
| EQ-Bench 4 | 1222 | — |
| LMArena Multi-Turn | 1468 | — |
Frequently asked questions
Is GLM-5.2 better than Qwen3-4B?
GLM-5.2 is the stronger model overall, scoring 50.9 to 31.5 on the Noometry Index.
How many benchmarks do GLM-5.2 and Qwen3-4B share?
4 benchmarks have published results for both models. GLM-5.2 has 50 scored results on Noometry and Qwen3-4B has 6.