Model comparison
GLM-4.5 vs Llama 3.1 Nemotron 70b Instruct
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and Llama 3.1 Nemotron 70b Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 52.8 to 40.5.
Side by side
| GLM-4.5 | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 42.0 | 37.6 |
| Released | 2025-07-27 | 2024-12-18 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Llama 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Coding | 1434 | 1272 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| BigCodeBench Instruct | — | 38.7% |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Llama 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1266 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | 1427 | 1271 |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | 1433 | 1242 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Llama 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | 1417 | 1245 |
| LMArena Chinese | 1465 | 1263 |
| LMArena Russian | 1414 | 1227 |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Llama 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 1252 |
Long Context Too close to call
GLM-4.5: 38.2 (#201), Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1412 | 1238 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | GLM-4.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | 1430 | 1283 |
| LMArena Creative Writing | 1395 | 1269 |
| LMArena Multi-Turn | 1415 | 1275 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Llama 3.1 Nemotron 70b Instruct?
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Is GLM-4.5 or Llama 3.1 Nemotron 70b Instruct better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 35.9 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Llama 3.1 Nemotron 70b Instruct share?
12 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.