# GLM-5V-Turbo vs gpt-oss-20b

> GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 32.5 on the Noometry Index. gpt-oss-20b costs 53× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-5v-turbo-vs-gpt-oss-20b
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. GLM-5V-Turbo scores higher in 7 categories and gpt-oss-20b in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 35.5.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GLM-5V-Turbo accepts more context: 200K tokens versus 131K.
- gpt-oss-20b has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 32.5 |
| Rank | 84 | 255 |
| Context | 200K | 131K |
| Input $/M | $1.20 | $0.018 |
| Output $/M | $4 | $0.09 |
| Weights | Proprietary | Open |

## Coding

- GLM-5V-Turbo: 42.1 (#111)
- gpt-oss-20b: 37.6 (#192)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1466 | 1306 |
| LMArena WebDev | 1401 | — |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| ALE-Bench | — | 566.05 |

## Agentic & Tool Use

- GLM-5V-Turbo: —
- gpt-oss-20b: 9.3 (#154)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |

## Reasoning

- GLM-5V-Turbo: 29.7 (#89)
- gpt-oss-20b: 19.3 (#261)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1274 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| DTBench | — | 68% |
| LMCA | — | 14.5% |
| Epoch Capabilities Index | — | 137.82 |

## Math

- GLM-5V-Turbo: 39.4 (#106)
- gpt-oss-20b: 39.4 (#103)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Math | 1441 | 1317 |
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |

## Knowledge

- GLM-5V-Turbo: 40.6 (#117)
- gpt-oss-20b: 34.6 (#195)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Expert | 1452 | 1258 |
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |

## Multimodal

- GLM-5V-Turbo: 40.9 (#42)
- gpt-oss-20b: —

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |

## Multilingual

- GLM-5V-Turbo: 53.0 (#73)
- gpt-oss-20b: 42.2 (#197)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1420 | 1268 |
| LMArena Chinese | 1488 | 1314 |
| LMArena German | 1423 | 1255 |
| LMArena Korean | 1396 | 1236 |
| LMArena Russian | 1431 | 1278 |
| LMArena Spanish | 1450 | 1267 |
| LMArena French | 1444 | — |
| LMArena Japanese | — | 1244 |

## Instruction Following

- GLM-5V-Turbo: 75.0 (#80)
- gpt-oss-20b: 61.8 (#240)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1423 | 1236 |
| IFEval | — | 73.2% |

## Long Context

- GLM-5V-Turbo: 44.0 (#80)
- gpt-oss-20b: 37.9 (#209)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1438 | 1250 |

## Writing & Preference

- GLM-5V-Turbo: 62.5 (#73)
- gpt-oss-20b: 35.5 (#265)

| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1437 | 1287 |
| LMArena Creative Writing | 1416 | 1201 |
| LMArena Multi-Turn | 1432 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |

## FAQ

### Is GLM-5V-Turbo better than gpt-oss-20b?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 32.5 on the Noometry Index. gpt-oss-20b costs 53× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

### Which is cheaper, GLM-5V-Turbo or gpt-oss-20b?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

### Is GLM-5V-Turbo or gpt-oss-20b better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 37.6 in the Noometry coding category.

### Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 131K.

### How many benchmarks do GLM-5V-Turbo and gpt-oss-20b share?

15 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and gpt-oss-20b has 34.
