Model comparison
GLM-5V-Turbo vs Llama 3.1 Nemotron 70b Instruct
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Llama 3.1 Nemotron 70b Instruct 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 48.4.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 43.8 | 37.6 |
| Released | 2026-04-01 | 2024-12-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 14 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Llama 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Coding | 1466 | 1272 |
| LMArena WebDev | 1401 | — |
| BigCodeBench Instruct | — | 38.7% |
| BigCodeBench Complete | — | 48.2% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Llama 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1266 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | 1441 | 1271 |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | 1452 | 1242 |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Llama 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | 1420 | 1245 |
| LMArena Chinese | 1488 | 1263 |
| LMArena Russian | 1431 | 1227 |
| LMArena French | 1444 | — |
| LMArena German | 1423 | — |
| LMArena Korean | 1396 | — |
| LMArena Spanish | 1450 | — |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Llama 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1423 | 1252 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1438 | 1238 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | GLM-5V-Turbo | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | 1437 | 1283 |
| LMArena Creative Writing | 1416 | 1269 |
| LMArena Multi-Turn | 1432 | 1275 |
Frequently asked questions
Is GLM-5V-Turbo better than Llama 3.1 Nemotron 70b Instruct?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.6 on the Noometry Index.
Is GLM-5V-Turbo or Llama 3.1 Nemotron 70b Instruct better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 35.9 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Llama 3.1 Nemotron 70b Instruct share?
12 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.