Model comparison
GLM-5.3-Flash vs Llama 3.1 Nemotron Ultra 253b v1
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 36.7 on the Noometry Index.
Last verified . 10 shared benchmarks.
NVIDIASummary
- They share 10 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Llama 3.1 Nemotron Ultra 253b v1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 26.3.
Side by side
| GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 51.8 | 36.7 |
| Released | 2026-08-20 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 40 | 11 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#31), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Coding | 1508 | 1312 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use GLM-5.3-Flash leads
GLM-5.3-Flash: 34.2 (#47), Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| APEX-Agents | 52.8% | — |
| Berkeley Function Calling Leaderboard | — | 10% |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 48.0 (#42), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Hard Prompts | 1491 | 1316 |
| ARC-AGI-2 | 65.8% | — |
| ARC-AGI-1 | 91% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 151.88 | — |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.3 (#47), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | 1500 | 1360 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |
Knowledge Not comparable
GLM-5.3-Flash: 58.4 (#36), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 90.2% | — |
| LMArena Expert | 1513 | — |
Multimodal Not comparable
GLM-5.3-Flash: 42.8 (#27), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Vision | 1296 | — |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.0 (#25), Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | 1462 | 1282 |
| LMArena Russian | 1469 | 1284 |
| LMArena Chinese | 1527 | — |
| LMArena French | 1496 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1446 | — |
| LMArena Spanish | 1471 | — |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.5 (#20), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | 1478 | 1308 |
Long Context GLM-5.3-Flash leads
GLM-5.3-Flash: 45.4 (#39), Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | 1482 | 1299 |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.3 (#50), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | GLM-5.3-Flash | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | 1471 | 1320 |
| LMArena Creative Writing | 1442 | 1314 |
| LMArena Multi-Turn | 1467 | 1317 |
Frequently asked questions
Is GLM-5.3-Flash better than Llama 3.1 Nemotron Ultra 253b v1?
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 36.7 on the Noometry Index.
Is GLM-5.3-Flash or Llama 3.1 Nemotron Ultra 253b v1 better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 38.4 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and Llama 3.1 Nemotron Ultra 253b v1 share?
10 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.