# GLM-4.7-Flash vs Nemotron 3.5 Lightning

> Nemotron 3.5 Lightning is the stronger model overall, scoring 40.0 to 38.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-nemotron-3-5-lightning
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and Nemotron 3.5 Lightning in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Nemotron 3.5 Lightning leads 26.8 to 20.9.
- Nemotron 3.5 Lightning is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.06 / $0.40 for GLM-4.7-Flash.
- Nemotron 3.5 Lightning accepts more context: 262K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 38.8 | 40.0 |
| Rank | 180 | 155 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $0.05 |
| Output $/M | $0.40 | $0.20 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Nemotron 3.5 Lightning: 40.4 (#141)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Coding | 1383 | 1375 |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Nemotron 3.5 Lightning: 26.8 (#127)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1337 |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Nemotron 3.5 Lightning: 37.5 (#155)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | 1355 | 1359 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Nemotron 3.5 Lightning: 37.5 (#154)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | 1357 | 1356 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Nemotron 3.5 Lightning: 44.0 (#180)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | 1330 | 1295 |
| LMArena Chinese | 1403 | 1359 |
| LMArena French | 1332 | 1366 |
| LMArena German | 1337 | 1282 |
| LMArena Korean | 1283 | 1238 |
| LMArena Russian | 1332 | 1253 |
| LMArena Spanish | 1350 | 1345 |
| LMArena Japanese | — | 1206 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Nemotron 3.5 Lightning: 69.6 (#170)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | 1327 | 1318 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Nemotron 3.5 Lightning: 39.9 (#165)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | 1345 | 1314 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Nemotron 3.5 Lightning: 48.5 (#201)

| Benchmark | GLM-4.7-Flash | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | 1351 | 1327 |
| LMArena Creative Writing | 1297 | 1254 |
| EQ-Bench Creative Writing | 1125 | 1280 |
| LMArena Multi-Turn | 1342 | 1328 |

## FAQ

### Is GLM-4.7-Flash better than Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning is the stronger model overall, scoring 40.0 to 38.8 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; GLM-4.7-Flash lists at $0.06 and $0.40.

### Is GLM-4.7-Flash or Nemotron 3.5 Lightning better for coding?

They score almost the same on coding (40.6 vs 40.4); test both on your own repository before choosing.

### Which has the bigger context window?

Nemotron 3.5 Lightning does, with 262K tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Nemotron 3.5 Lightning share?

17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Nemotron 3.5 Lightning has 18.