Model comparison
GLM-4.5-Air vs Llama 13b
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
MetaSummary
- They share 8 benchmarks with published results for both. GLM-4.5-Air scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 13.8.
Side by side
| GLM-4.5-Air | Llama 13b | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 38.9 | 24.4 |
| Released | 2025-07-20 | 2023-02-24 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5-Air leads
GLM-4.5-Air: 33.3 (#259), Llama 13b: 21.4 (#337)
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| LMArena Coding | 1397 | 683 |
| GSO | 2.9% | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), Llama 13b: 14.0 (#329)
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1379 | 728 |
| Kagi LLM Benchmark | 43% | — |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| ForecastBench | 59.2 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math GLM-4.5-Air leads
GLM-4.5-Air: 36.2 (#170), Llama 13b: 26.7 (#256)
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| LMArena Math | 1396 | 838 |
| Omni-MATH | 39.1% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GLM-4.5-Air: 35.0 (#191), Llama 13b: —
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GLM-4.5-Air: —, Llama 13b: —
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.1 (#135), Llama 13b: 16.6 (#297)
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| LMArena Non-English | 1366 | 819 |
| LMArena Chinese | 1426 | — |
| LMArena French | 1399 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1386 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.6 (#171), Llama 13b: 36.7 (#305)
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1354 | 781 |
| IFEval | 81.2% | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#135), Llama 13b: —
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1366 | — |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 55.9 (#139), Llama 13b: 13.8 (#312)
| Benchmark | GLM-4.5-Air | Llama 13b |
|---|---|---|
| LMArena Text | 1384 | 834 |
| LMArena Creative Writing | 1343 | 794 |
| LMArena Multi-Turn | 1371 | 753 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Llama 13b?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 24.4 on the Noometry Index.
Is GLM-4.5-Air or Llama 13b better for coding?
GLM-4.5-Air scores higher on coding benchmarks: 33.3 versus 21.4 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and Llama 13b share?
8 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Llama 13b has 21.