Model comparison
GLM-5V-Turbo vs Llama 2-70B
GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 24.1 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 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5V-Turbo leads 39.9 to 7.4.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Llama 2-70B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 43.1 | 24.1 |
| 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 | 35 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 41.8 (#105), Llama 2-70B: 30.8 (#281)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1467 | 1079 |
| LMArena WebDev | 1400 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 28.5 (#87), Llama 2-70B: 13.7 (#324)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1073 |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.59 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 36.6 (#109), Llama 2-70B: 7.5 (#320)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Math | 1440 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 39.9 (#113), Llama 2-70B: 7.4 (#305)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1451 | 1039 |
| GPQA Diamond | — | 26.3% |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |
Multimodal Not comparable
GLM-5V-Turbo: 40.1 (#41), Llama 2-70B: —
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.2 (#69), Llama 2-70B: 27.9 (#269)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1420 | 1045 |
| LMArena Chinese | 1488 | 994 |
| LMArena French | 1443 | 1089 |
| LMArena German | 1422 | 1041 |
| LMArena Korean | 1399 | 964 |
| LMArena Russian | 1432 | 1083 |
| LMArena Spanish | 1446 | 1142 |
| LMArena Japanese | — | 927 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.1 (#75), Llama 2-70B: 55.1 (#273)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1422 | 1071 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#76), Llama 2-70B: 32.2 (#265)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1439 | 1062 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.6 (#69), Llama 2-70B: 32.5 (#274)
| Benchmark | GLM-5V-Turbo | Llama 2-70B |
|---|---|---|
| LMArena Text | 1437 | 1115 |
| LMArena Creative Writing | 1414 | 1075 |
| LMArena Multi-Turn | 1432 | 1088 |
Frequently asked questions
Is GLM-5V-Turbo better than Llama 2-70B?
GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 24.1 on the Noometry Index.
Is GLM-5V-Turbo or Llama 2-70B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 30.8 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Llama 2-70B share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Llama 2-70B has 35.