Model comparison
GLM-4.6 vs Nemotron 3.5 Lightning
GLM-4.6 is the stronger model overall, scoring 40.9 to 39.3 on the Noometry Index. Nemotron 3.5 Lightning costs 12× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
NVIDIASummary
- They share 18 benchmarks with published results for both. GLM-4.6 scores higher in 7 categories and Nemotron 3.5 Lightning in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 48.5.
- Nemotron 3.5 Lightning is cheaper at $0.06 / $0.16 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- Nemotron 3.5 Lightning accepts more context: 262K tokens versus 205K.
Side by side
| GLM-4.6 | Nemotron 3.5 Lightning | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 40.9 | 39.3 |
| Released | 2025-09-30 | 2026-08-11 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 262K |
| Input $ / M tokens | $0.60 | $0.06 |
| Output $ / M tokens | $2.20 | $0.16 |
| Results tracked | 29 | 18 |
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Category by category
Coding Too close to call
GLM-4.6: 39.9 (#137), Nemotron 3.5 Lightning: 39.6 (#143)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Coding | 1449 | 1370 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| ALE-Bench | 340.82 | — |
Agentic & Tool Use Not comparable
GLM-4.6: 32.1 (#60), Nemotron 3.5 Lightning: —
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
Reasoning Nemotron 3.5 Lightning leads
GLM-4.6: 23.1 (#168), Nemotron 3.5 Lightning: 25.7 (#128)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1335 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
Math GLM-4.6 leads
GLM-4.6: 36.4 (#115), Nemotron 3.5 Lightning: 34.7 (#156)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | 1431 | 1355 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-4.6 leads
GLM-4.6: 39.6 (#118), Nemotron 3.5 Lightning: 36.9 (#154)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | 1432 | 1354 |
| Vectara Hallucination Rate | 9.5% | — |
Multilingual GLM-4.6 leads
GLM-4.6: 53.6 (#62), Nemotron 3.5 Lightning: 44.0 (#175)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | 1426 | 1292 |
| LMArena Chinese | 1500 | 1356 |
| LMArena French | 1459 | 1369 |
| LMArena German | 1447 | 1280 |
| LMArena Japanese | 1394 | 1213 |
| LMArena Korean | 1401 | 1233 |
| LMArena Russian | 1418 | 1257 |
| LMArena Spanish | 1436 | 1321 |
Instruction Following GLM-4.6 leads
GLM-4.6: 74.5 (#93), Nemotron 3.5 Lightning: 69.8 (#166)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | 1410 | 1317 |
Long Context GLM-4.6 leads
GLM-4.6: 43.4 (#91), Nemotron 3.5 Lightning: 39.9 (#160)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | 1423 | 1312 |
Writing & Preference GLM-4.6 leads
GLM-4.6: 61.3 (#86), Nemotron 3.5 Lightning: 48.5 (#198)
| Benchmark | GLM-4.6 | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | 1440 | 1324 |
| LMArena Creative Writing | 1411 | 1254 |
| EQ-Bench Creative Writing | 1411 | 1280 |
| LMArena Multi-Turn | 1427 | 1327 |
Frequently asked questions
Is GLM-4.6 better than Nemotron 3.5 Lightning?
GLM-4.6 is the stronger model overall, scoring 40.9 to 39.3 on the Noometry Index. Nemotron 3.5 Lightning costs 12× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.
Which is cheaper, GLM-4.6 or Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning is cheaper. It lists at $0.06 per million input tokens and $0.16 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.
Is GLM-4.6 or Nemotron 3.5 Lightning better for coding?
They score almost the same on coding (39.9 vs 39.6); test both on your own repository before choosing.
Which has the bigger context window?
Nemotron 3.5 Lightning does, with 262K tokens against 205K.
How many benchmarks do GLM-4.6 and Nemotron 3.5 Lightning share?
18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Nemotron 3.5 Lightning has 18.