# GLM-4.5 vs MiniMax-M2.1

> GLM-4.5 is the stronger model overall, scoring 41.4 to 38.4 on the Noometry Index. MiniMax-M2.1 costs 1.9× 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-minimax-m2-1
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and MiniMax-M2.1 in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 27.7 to 15.8.
- MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- MiniMax-M2.1 accepts more context: 205K tokens versus 131K.

## Snapshot

| | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 41.4 | 38.4 |
| Rank | 125 | 177 |
| Context | 131K | 205K |
| Input $/M | $0.60 | $0.30 |
| Output $/M | $2.20 | $1.20 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.1 (#121)
- MiniMax-M2.1: 40.1 (#132)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Coding | 1434 | 1421 |
| ALE-Bench | 344.82 | 623.83 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1384 |
| WeirdML | 40.6% | — |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- MiniMax-M2.1: 27.7 (#91)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |

## Reasoning

- GLM-4.5: 27.7 (#99)
- MiniMax-M2.1: 15.8 (#301)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1410 |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | — | 11.2% |

## Math

- GLM-4.5: 36.3 (#119)
- MiniMax-M2.1: 35.6 (#142)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Math | 1427 | 1396 |

## Knowledge

- GLM-4.5: 35.5 (#172)
- MiniMax-M2.1: 37.7 (#143)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Expert | 1433 | 1432 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 11.8% |

## Multilingual

- GLM-4.5: 53.0 (#74)
- MiniMax-M2.1: 50.2 (#123)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Non-English | 1417 | 1378 |
| LMArena Chinese | 1465 | 1430 |
| LMArena French | 1423 | 1405 |
| LMArena German | 1406 | 1380 |
| LMArena Japanese | 1416 | 1287 |
| LMArena Korean | 1382 | 1297 |
| LMArena Russian | 1414 | 1386 |
| LMArena Spanish | 1454 | 1396 |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- MiniMax-M2.1: 74.0 (#108)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1399 |

## Long Context

- GLM-4.5: 38.2 (#196)
- MiniMax-M2.1: 43.2 (#98)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | 1413 | 1416 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- MiniMax-M2.1: 58.5 (#114)

| Benchmark | GLM-4.5 | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | 1430 | 1392 |
| LMArena Creative Writing | 1395 | 1362 |
| LMArena Multi-Turn | 1415 | 1396 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than MiniMax-M2.1?

GLM-4.5 is the stronger model overall, scoring 41.4 to 38.4 on the Noometry Index. MiniMax-M2.1 costs 1.9× 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 MiniMax-M2.1?

MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is GLM-4.5 or MiniMax-M2.1 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 40.1 in the Noometry coding category.

### Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 131K.

### How many benchmarks do GLM-4.5 and MiniMax-M2.1 share?

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiniMax-M2.1 has 22.