# GLM-4.5 vs GLM-4.7-Flash

> GLM-4.5 is the stronger model overall, scoring 42.0 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 6.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-glm-4-7-flash
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and GLM-4.7-Flash in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5 leads 57.5 to 47.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.7-Flash accepts more context: 200K tokens versus 131K.

## Snapshot

| | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 42.0 | 38.8 |
| Rank | 122 | 180 |
| Context | 131K | 200K |
| Input $/M | $0.60 | $0.06 |
| Output $/M | $2.20 | $0.40 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.4 (#125)
- GLM-4.7-Flash: 40.6 (#135)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1434 | 1383 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- GLM-4.7-Flash: 20.9 (#229)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1356 |
| Kagi LLM Benchmark | 57.9% | — |
| Chess Puzzles | — | 0% |

## Math

- GLM-4.5: 39.0 (#116)
- GLM-4.7-Flash: 36.1 (#173)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Math | 1427 | 1355 |
| OTIS Mock AIME 2024-2025 | — | 58.3% |

## Knowledge

- GLM-4.5: 35.9 (#179)
- GLM-4.7-Flash: 35.5 (#184)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Expert | 1433 | 1357 |
| GPQA Diamond | — | 60.5% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 9.3% |

## Multilingual

- GLM-4.5: 52.8 (#77)
- GLM-4.7-Flash: 46.5 (#158)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 1417 | 1330 |
| LMArena Chinese | 1465 | 1403 |
| LMArena French | 1418 | 1332 |
| LMArena German | 1407 | 1337 |
| LMArena Korean | 1380 | 1283 |
| LMArena Russian | 1414 | 1332 |
| LMArena Spanish | 1454 | 1350 |
| LMArena Japanese | 1415 | — |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- GLM-4.7-Flash: 70.1 (#167)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 1404 | 1327 |

## Long Context

- GLM-4.5: 38.2 (#201)
- GLM-4.7-Flash: 40.9 (#148)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1412 | 1345 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- GLM-4.7-Flash: 47.4 (#210)

| Benchmark | GLM-4.5 | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1430 | 1351 |
| LMArena Creative Writing | 1395 | 1297 |
| EQ-Bench Creative Writing | 1343 | 1125 |
| LMArena Multi-Turn | 1415 | 1342 |
| Short-Story Creative Writing | 73.4% | — |

## FAQ

### Is GLM-4.5 better than GLM-4.7-Flash?

GLM-4.5 is the stronger model overall, scoring 42.0 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 6.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5 or GLM-4.7-Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is GLM-4.5 or GLM-4.7-Flash better for coding?

They score almost the same on coding (41.4 vs 40.6); test both on your own repository before choosing.

### Which has the bigger context window?

GLM-4.7-Flash does, with 200K tokens against 131K.

### How many benchmarks do GLM-4.5 and GLM-4.7-Flash share?

17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GLM-4.7-Flash has 21.