Model comparison
GLM-4.7-Flash vs Llama 3.1 Nemotron 51b Instruct
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Llama 3.1 Nemotron 51b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.7-Flash leads 46.5 to 36.1.
Side by side
| GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 38.8 | 35.9 |
| Released | 2026-01-19 | — |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 12 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Llama 3.1 Nemotron 51b Instruct: 35.6 (#222)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Coding | 1383 | 1223 |
Reasoning Llama 3.1 Nemotron 51b Instruct leads
GLM-4.7-Flash: 20.9 (#229), Llama 3.1 Nemotron 51b Instruct: 23.5 (#177)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1203 |
| Chess Puzzles | 0% | — |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Llama 3.1 Nemotron 51b Instruct: 34.6 (#193)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Math | 1355 | 1230 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Llama 3.1 Nemotron 51b Instruct: 31.9 (#218)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Expert | 1357 | 1167 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.5 (#158), Llama 3.1 Nemotron 51b Instruct: 36.1 (#241)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Non-English | 1330 | 1181 |
| LMArena Chinese | 1403 | 1180 |
| LMArena Russian | 1332 | 1187 |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Spanish | 1350 | — |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.1 (#167), Llama 3.1 Nemotron 51b Instruct: 62.9 (#233)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Instruction Following | 1327 | 1201 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#148), Llama 3.1 Nemotron 51b Instruct: 36.5 (#230)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Longer Query | 1345 | 1205 |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.4 (#210), Llama 3.1 Nemotron 51b Instruct: 43.4 (#229)
| Benchmark | GLM-4.7-Flash | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Text | 1351 | 1228 |
| LMArena Creative Writing | 1297 | 1213 |
| LMArena Multi-Turn | 1342 | 1227 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Llama 3.1 Nemotron 51b Instruct?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.9 on the Noometry Index.
Is GLM-4.7-Flash or Llama 3.1 Nemotron 51b Instruct better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 35.6 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Llama 3.1 Nemotron 51b Instruct share?
12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Llama 3.1 Nemotron 51b Instruct has 12.