Model comparison
GLM-5V-Turbo vs Llama 2-7B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 29.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
MetaSummary
- They share 15 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Llama 2-7B 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 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Llama 2-7B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 43.8 | 29.1 |
| 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 | 29 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Llama 2-7B: 29.2 (#307)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1466 | 1002 |
| LMArena WebDev | 1401 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Llama 2-7B: 15.7 (#312)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1009 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Llama 2-7B: 30.7 (#233)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Math | 1441 | 1042 |
| GSM8K | — | 16.7% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Llama 2-7B: 28.2 (#248)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1452 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Llama 2-7B: —
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
| ScienceQA | — | 43.1% |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Llama 2-7B: 23.8 (#293)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1420 | 973 |
| LMArena Chinese | 1488 | 973 |
| LMArena French | 1444 | 970 |
| LMArena German | 1423 | 978 |
| LMArena Russian | 1431 | 995 |
| LMArena Spanish | 1450 | 1007 |
| LMArena Korean | 1396 | — |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Llama 2-7B: 50.8 (#298)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1423 | 1006 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Llama 2-7B: 30.4 (#287)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1438 | 999 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Llama 2-7B: 28.0 (#298)
| Benchmark | GLM-5V-Turbo | Llama 2-7B |
|---|---|---|
| LMArena Text | 1437 | 1053 |
| LMArena Creative Writing | 1416 | 1033 |
| LMArena Multi-Turn | 1432 | 1029 |
Frequently asked questions
Is GLM-5V-Turbo better than Llama 2-7B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 29.1 on the Noometry Index.
Is GLM-5V-Turbo or Llama 2-7B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 29.2 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Llama 2-7B share?
15 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Llama 2-7B has 29.