Model comparison
GLM-4.7 vs Nemotron 3 Super
GLM-4.7 is the stronger model overall, scoring 42.0 to 40.1 on the Noometry Index. Nemotron 3 Super costs 5.8× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
NVIDIASummary
- They share 18 benchmarks with published results for both. GLM-4.7 scores higher in 7 categories and Nemotron 3 Super in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 38.9.
- The biggest single-benchmark swing is SciCode: 45.1% for GLM-4.7 and 36% for Nemotron 3 Super.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- Nemotron 3 Super accepts more context: 262K tokens versus 205K.
Side by side
| GLM-4.7 | Nemotron 3 Super | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 42.0 | 40.1 |
| Released | 2025-12-22 | 2026-03-11 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.60 | $0.08 |
| Output $ / M tokens | $2.20 | $0.45 |
| Results tracked | 36 | 21 |
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Category by category
Coding GLM-4.7 leads
GLM-4.7: 44.0 (#79), Nemotron 3 Super: 39.4 (#158)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| SciCode | 45.1% | 36% |
| LMArena Coding | 1454 | 1403 |
| ALE-Bench | 399.48 | 213.9 |
| LMArena WebDev | 1435 | — |
| WeirdML | — | 38% |
Agentic & Tool Use Not comparable
GLM-4.7: 26.5 (#103), Nemotron 3 Super: —
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning GLM-4.7 leads
GLM-4.7: 24.3 (#164), Nemotron 3 Super: 18.7 (#276)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| CritPt | 1.7% | 3.1% |
| LMArena Hard Prompts | 1443 | 1386 |
| SimpleBench | 47.7% | — |
| NYT Connections (extended) | — | 15.4% |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.51 | — |
Math Nemotron 3 Super leads
GLM-4.7: 38.6 (#135), Nemotron 3 Super: 39.6 (#101)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1423 | 1380 |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.7 leads
GLM-4.7: 47.0 (#80), Nemotron 3 Super: 38.9 (#139)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1424 | 1398 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |
Multilingual GLM-4.7 leads
GLM-4.7: 52.8 (#79), Nemotron 3 Super: 48.4 (#144)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1417 | 1355 |
| LMArena Chinese | 1495 | 1432 |
| LMArena French | 1432 | 1405 |
| LMArena German | 1424 | 1341 |
| LMArena Russian | 1423 | 1336 |
| LMArena Spanish | 1434 | 1417 |
| LMArena Japanese | 1439 | — |
| LMArena Korean | 1399 | — |
Instruction Following GLM-4.7 leads
GLM-4.7: 74.4 (#95), Nemotron 3 Super: 71.2 (#154)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1411 | 1347 |
Long Context GLM-4.7 leads
GLM-4.7: 42.8 (#116), Nemotron 3 Super: 41.5 (#139)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1432 | 1362 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference GLM-4.7 leads
GLM-4.7: 60.9 (#93), Nemotron 3 Super: 55.9 (#140)
| Benchmark | GLM-4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1435 | 1378 |
| LMArena Creative Writing | 1401 | 1317 |
| LMArena Multi-Turn | 1446 | 1369 |
| EQ-Bench Creative Writing | 1413 | — |
Frequently asked questions
Is GLM-4.7 better than Nemotron 3 Super?
GLM-4.7 is the stronger model overall, scoring 42.0 to 40.1 on the Noometry Index. Nemotron 3 Super costs 5.8× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7 or Nemotron 3 Super?
Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.
Is GLM-4.7 or Nemotron 3 Super better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 39.4 in the Noometry coding category.
Which has the bigger context window?
Nemotron 3 Super does, with 262K tokens against 205K.
How many benchmarks do GLM-4.7 and Nemotron 3 Super share?
18 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Nemotron 3 Super has 21.