# GLM-5V-Turbo vs GPT-4.1 mini

> GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 33.6 on the Noometry Index. GPT-4.1 mini costs 2.7× 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-4-1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 9 categories and GPT-4.1 mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 10.8.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 33.6 |
| Rank | 84 | 240 |
| Context | 200K | 1.05M |
| Input $/M | $1.20 | $0.40 |
| Output $/M | $4 | $1.60 |
| Weights | Proprietary | Proprietary |

## Coding

- GLM-5V-Turbo: 42.1 (#111)
- GPT-4.1 mini: 30.6 (#293)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Coding | 1466 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| LMArena WebDev | 1401 | — |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |

## Agentic & Tool Use

- GLM-5V-Turbo: —
- GPT-4.1 mini: 33.3 (#55)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |

## Reasoning

- GLM-5V-Turbo: 29.7 (#89)
- GPT-4.1 mini: 10.8 (#340)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1349 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LMCA | — | 21.1% |
| Epoch Capabilities Index | — | 135.01 |

## Math

- GLM-5V-Turbo: 39.4 (#106)
- GPT-4.1 mini: 24.1 (#270)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Math | 1441 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |

## Knowledge

- GLM-5V-Turbo: 40.6 (#117)
- GPT-4.1 mini: 34.7 (#194)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Expert | 1452 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |

## Multimodal

- GLM-5V-Turbo: 40.9 (#42)
- GPT-4.1 mini: 35.8 (#82)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1264 | 1181 |
| LMArena Document | 1416 | — |

## Multilingual

- GLM-5V-Turbo: 53.0 (#73)
- GPT-4.1 mini: 45.7 (#166)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1420 | 1318 |
| LMArena Chinese | 1488 | 1329 |
| LMArena French | 1444 | 1358 |
| LMArena German | 1423 | 1351 |
| LMArena Korean | 1396 | 1298 |
| LMArena Russian | 1431 | 1324 |
| LMArena Spanish | 1450 | 1319 |
| LMArena Japanese | — | 1290 |

## Instruction Following

- GLM-5V-Turbo: 75.0 (#80)
- GPT-4.1 mini: 73.7 (#118)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1423 | 1333 |
| IFEval | — | 90.4% |

## Long Context

- GLM-5V-Turbo: 44.0 (#80)
- GPT-4.1 mini: 31.8 (#275)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1438 | 1344 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- GLM-5V-Turbo: 62.5 (#73)
- GPT-4.1 mini: 48.6 (#199)

| Benchmark | GLM-5V-Turbo | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1437 | 1340 |
| LMArena Creative Writing | 1416 | 1300 |
| LMArena Multi-Turn | 1432 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |

## FAQ

### Is GLM-5V-Turbo better than GPT-4.1 mini?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 33.6 on the Noometry Index. GPT-4.1 mini costs 2.7× 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-4.1 mini?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

### Is GLM-5V-Turbo or GPT-4.1 mini better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 30.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 200K.

### How many benchmarks do GLM-5V-Turbo and GPT-4.1 mini share?

17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-4.1 mini has 47.