# GLM-4.7-Flash vs GPT-4

> GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-gpt-4
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GLM-4.7-Flash scores higher in 8 categories and GPT-4 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7-Flash leads 34.4 to 10.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 1.1% for GPT-4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $30 / $60 for GPT-4.
- GLM-4.7-Flash accepts more context: 200K tokens versus 8K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 38.4 | 28.9 |
| Rank | 175 | 308 |
| Context | 200K | 8K |
| Input $/M | $0.06 | $30 |
| Output $/M | $0.40 | $60 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- GPT-4: 31.2 (#277)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| LMArena Coding | 1383 | 1254 |
| WeirdML | — | 12.4% |
| BigCodeBench Instruct | — | 46% |
| BigCodeBench Complete | — | 57.2% |
| HumanEval+ | — | 79.3% |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- GPT-4: —

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| METR Time Horizons | — | 36.1% |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- GPT-4: 17.3 (#285)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| LMArena Hard Prompts | 1356 | 1241 |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 62.7% |
| LMCA | — | 17.1% |
| BIG-Bench Hard | — | 75.1% |
| Epoch Capabilities Index | — | 125.88 |
| ForecastBench | — | 57.8 |
| HellaSwag | — | 95.3% |
| WinoGrande | — | 87.5% |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- GPT-4: 10.1 (#304)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 1.1% |
| LMArena Math | 1354 | 1269 |
| MATH Level 5 | — | 23% |
| GSM8K | — | 92% |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- GPT-4: 18.4 (#277)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| GPQA Diamond | 60.5% | 35.7% |
| LMArena Expert | 1357 | 1211 |
| Vectara Hallucination Rate | 9.3% | — |
| MMLU | — | 86.4% |
| TriviaQA | — | 84.8% |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- GPT-4: 40.8 (#210)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| LMArena Non-English | 1331 | 1246 |
| LMArena Chinese | 1403 | 1242 |
| LMArena French | 1332 | 1282 |
| LMArena German | 1336 | 1251 |
| LMArena Korean | 1284 | 1184 |
| LMArena Russian | 1333 | 1251 |
| LMArena Spanish | 1351 | 1261 |
| LMArena Japanese | — | 1209 |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- GPT-4: 65.5 (#217)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1241 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- GPT-4: 37.7 (#207)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| LMArena Longer Query | 1345 | 1244 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- GPT-4: 35.0 (#263)

| Benchmark | GLM-4.7-Flash | GPT-4 |
|---|---|---|
| LMArena Text | 1351 | 1263 |
| LMArena Creative Writing | 1297 | 1244 |
| EQ-Bench Creative Writing | 1125 | 752 |
| LMArena Multi-Turn | 1342 | 1257 |

## FAQ

### Is GLM-4.7-Flash better than GPT-4?

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 28.9 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or GPT-4?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-4 lists at $30 and $60.

### Is GLM-4.7-Flash or GPT-4 better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 31.2 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7-Flash does, with 200K tokens against 8K.

### How many benchmarks do GLM-4.7-Flash and GPT-4 share?

20 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-4 has 38.