Model comparison
GLM-5 vs Nemotron 3 Super
GLM-5 is the stronger model overall, scoring 45.9 to 39.6 on the Noometry Index. Nemotron 3 Super costs 9.0× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
NVIDIASummary
- They share 19 benchmarks with published results for both. GLM-5 scores higher in 8 categories and Nemotron 3 Super in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5 leads 52.2 to 38.2.
- The biggest single-benchmark swing is NYT Connections (extended): 74.8% for GLM-5 and 15.4% for Nemotron 3 Super.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $1 / $3.20 for GLM-5.
- Nemotron 3 Super accepts more context: 262K tokens versus 205K.
Side by side
| GLM-5 | Nemotron 3 Super | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 45.9 | 39.6 |
| Released | 2026-02-11 | 2026-03-11 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 131K |
| Input $ / M tokens | $1 | $0.08 |
| Output $ / M tokens | $3.20 | $0.45 |
| Results tracked | 45 | 21 |
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Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#47), Nemotron 3 Super: 38.9 (#153)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| WeirdML | 48.2% | 38% |
| LMArena Coding | 1461 | 1403 |
| ALE-Bench | 765.62 | 213.9 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| SciCode | — | 36% |
Agentic & Tool Use Not comparable
GLM-5: 30.9 (#65), Nemotron 3 Super: —
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#100), Nemotron 3 Super: 17.9 (#274)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| NYT Connections (extended) | 74.8% | 15.4% |
| LMArena Hard Prompts | 1451 | 1386 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| ARC-AGI-1 | 44.7% | — |
| CritPt | — | 3.1% |
| Chess Puzzles | 10% | — |
| Epoch Capabilities Index | 145.84 | — |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 44.8 (#66), Nemotron 3 Super: 37.6 (#95)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| MathArena Final-Answer Competitions | 65.7% | 60.4% |
| LMArena Math | 1440 | 1381 |
| OTIS Mock AIME 2024-2025 | 80% | — |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.2 (#59), Nemotron 3 Super: 38.2 (#136)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1454 | 1397 |
| GPQA Diamond | 87.8% | — |
| Vectara Hallucination Rate | 10.1% | — |
Multilingual GLM-5 leads
GLM-5: 53.9 (#57), Nemotron 3 Super: 48.6 (#139)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1430 | 1356 |
| LMArena Chinese | 1511 | 1430 |
| LMArena French | 1455 | 1404 |
| LMArena German | 1445 | 1341 |
| LMArena Russian | 1436 | 1336 |
| LMArena Spanish | 1452 | 1417 |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1421 | — |
Instruction Following GLM-5 leads
GLM-5: 75.4 (#64), Nemotron 3 Super: 71.4 (#149)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1427 | 1347 |
Long Context GLM-5 leads
GLM-5: 44.6 (#58), Nemotron 3 Super: 41.5 (#134)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1446 | 1362 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.2 (#38), Nemotron 3 Super: 56.1 (#135)
| Benchmark | GLM-5 | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1446 | 1378 |
| LMArena Creative Writing | 1438 | 1317 |
| LMArena Multi-Turn | 1456 | 1369 |
| EQ-Bench Creative Writing | 1601 | — |
Frequently asked questions
Is GLM-5 better than Nemotron 3 Super?
GLM-5 is the stronger model overall, scoring 45.9 to 39.6 on the Noometry Index. Nemotron 3 Super costs 9.0× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Which is cheaper, GLM-5 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-5 lists at $1 and $3.20.
Is GLM-5 or Nemotron 3 Super better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 38.9 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-5 and Nemotron 3 Super share?
19 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Nemotron 3 Super has 21.