Model comparison
GLM-5V-Turbo vs Llama 3-8B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 25.5 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 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5V-Turbo leads 40.6 to 7.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Llama 3-8B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 43.8 | 25.5 |
| Released | 2026-04-01 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 34 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Llama 3-8B: 31.0 (#289)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1466 | 1152 |
| LMArena WebDev | 1401 | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Llama 3-8B: 14.3 (#326)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1133 |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.45 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Llama 3-8B: 8.8 (#323)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Math | 1441 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Llama 3-8B: 7.8 (#308)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1452 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Llama 3-8B: —
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Llama 3-8B: 30.8 (#261)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1420 | 1098 |
| LMArena Chinese | 1488 | 1076 |
| LMArena French | 1444 | 1159 |
| LMArena German | 1423 | 1104 |
| LMArena Korean | 1396 | 1004 |
| LMArena Russian | 1431 | 1109 |
| LMArena Spanish | 1450 | 1173 |
| LMArena Japanese | — | 967 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Llama 3-8B: 58.4 (#260)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1423 | 1127 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Llama 3-8B: 34.2 (#251)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1438 | 1128 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Llama 3-8B: 37.5 (#256)
| Benchmark | GLM-5V-Turbo | Llama 3-8B |
|---|---|---|
| LMArena Text | 1437 | 1166 |
| LMArena Creative Writing | 1416 | 1150 |
| LMArena Multi-Turn | 1432 | 1152 |
Frequently asked questions
Is GLM-5V-Turbo better than Llama 3-8B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 25.5 on the Noometry Index.
Is GLM-5V-Turbo or Llama 3-8B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 31.0 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Llama 3-8B share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Llama 3-8B has 34.