Model comparison
GLM-5V-Turbo vs Llama 2-13B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 29.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 29.8.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Llama 2-13B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 43.8 | 29.6 |
| Released | 2026-04-01 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 32 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Llama 2-13B: 30.9 (#291)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1466 | 1062 |
| LMArena WebDev | 1401 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Llama 2-13B: 12.8 (#337)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1051 |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| Epoch Capabilities Index | — | 106.17 |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Llama 2-13B: 31.1 (#229)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Math | 1441 | 1065 |
| GSM8K | — | 36.9% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Llama 2-13B: 28.1 (#249)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1452 | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Llama 2-13B: —
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
| ScienceQA | — | 55.8% |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Llama 2-13B: 26.5 (#279)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1420 | 1024 |
| LMArena Chinese | 1488 | 1001 |
| LMArena French | 1444 | 1044 |
| LMArena German | 1423 | 1009 |
| LMArena Korean | 1396 | 953 |
| LMArena Russian | 1431 | 1055 |
| LMArena Spanish | 1450 | 1087 |
| LMArena Japanese | — | 894 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Llama 2-13B: 53.3 (#287)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1423 | 1045 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Llama 2-13B: 32.3 (#269)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1438 | 1064 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Llama 2-13B: 29.8 (#289)
| Benchmark | GLM-5V-Turbo | Llama 2-13B |
|---|---|---|
| LMArena Text | 1437 | 1084 |
| LMArena Creative Writing | 1416 | 1047 |
| LMArena Multi-Turn | 1432 | 1050 |
Frequently asked questions
Is GLM-5V-Turbo better than Llama 2-13B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 29.6 on the Noometry Index.
Is GLM-5V-Turbo or Llama 2-13B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 30.9 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Llama 2-13B share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Llama 2-13B has 32.