Model comparison
GLM-5.3-Flash vs Llama 13b
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. GLM-5.3-Flash 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-5.3-Flash leads 65.3 to 13.8.
Side by side
| GLM-5.3-Flash | Llama 13b | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 51.8 | 24.4 |
| Released | 2026-08-20 | 2023-02-24 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 40 | 21 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#31), Llama 13b: 21.4 (#337)
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Coding | 1508 | 683 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.2 (#47), Llama 13b: —
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 48.0 (#42), Llama 13b: 14.0 (#329)
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1491 | 728 |
| Epoch Capabilities Index | 151.88 | 100.58 |
| ARC-AGI-2 | 65.8% | — |
| ARC-AGI-1 | 91% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.3 (#47), Llama 13b: 26.7 (#256)
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Math | 1500 | 838 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GLM-5.3-Flash: 58.4 (#36), Llama 13b: —
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| GPQA Diamond | 90.2% | — |
| LMArena Expert | 1513 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GLM-5.3-Flash: 42.8 (#27), Llama 13b: —
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Vision | 1296 | — |
| ScienceQA | — | 43.3% |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.0 (#25), Llama 13b: 16.6 (#297)
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Non-English | 1462 | 819 |
| LMArena Chinese | 1527 | — |
| LMArena French | 1496 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1446 | — |
| LMArena Russian | 1469 | — |
| LMArena Spanish | 1471 | — |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.5 (#20), Llama 13b: 36.7 (#305)
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1478 | 781 |
Long Context Not comparable
GLM-5.3-Flash: 45.4 (#39), Llama 13b: —
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1482 | — |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.3 (#50), Llama 13b: 13.8 (#312)
| Benchmark | GLM-5.3-Flash | Llama 13b |
|---|---|---|
| LMArena Text | 1471 | 834 |
| LMArena Creative Writing | 1442 | 794 |
| LMArena Multi-Turn | 1467 | 753 |
Frequently asked questions
Is GLM-5.3-Flash better than Llama 13b?
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 24.4 on the Noometry Index.
Is GLM-5.3-Flash or Llama 13b better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 21.4 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and Llama 13b share?
9 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Llama 13b has 21.