# GLM-4.5 vs MiniMax-M3

> MiniMax-M3 is the stronger model overall, scoring 43.5 to 41.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-minimax-m3
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 0 categories and MiniMax-M3 in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 35.5.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- MiniMax-M3 accepts more context: 1M tokens versus 131K.

## Snapshot

| | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 41.4 | 43.5 |
| Rank | 125 | 81 |
| Context | 131K | 1M |
| Input $/M | $0.60 | $0.30 |
| Output $/M | $2.20 | $1.20 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.1 (#121)
- MiniMax-M3: 41.5 (#111)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Coding | 1434 | 1470 |
| ALE-Bench | 344.82 | 640.02 |
| FrontierCode | — | 14.7% |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1482 |
| SciCode | — | 47.1% |
| WeirdML | 40.6% | — |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- MiniMax-M3: 22.5 (#121)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |

## Reasoning

- GLM-4.5: 27.7 (#99)
- MiniMax-M3: 29.3 (#83)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1447 |
| SimpleBench | — | 45.8% |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | — | 65.1% |
| CritPt | — | 3.7% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| DTBench | — | 78.9% |
| LMCA | — | 33.7% |
| Surface Evolver Bench | — | 55% |
| Epoch Capabilities Index | — | 147 |
| ForecastBench | — | 61.4 |

## Math

- GLM-4.5: 36.3 (#119)
- MiniMax-M3: 39.1 (#83)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Math | 1427 | 1432 |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 18% |

## Knowledge

- GLM-4.5: 35.5 (#172)
- MiniMax-M3: 58.4 (#32)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Expert | 1433 | 1462 |
| GPQA Diamond | — | 90.9% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |

## Multimodal

- GLM-4.5: —
- MiniMax-M3: 39.5 (#45)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Vision | — | 1254 |
| LMArena Document | — | 1435 |

## Multilingual

- GLM-4.5: 53.0 (#74)
- MiniMax-M3: 53.2 (#70)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1417 | 1420 |
| LMArena Chinese | 1465 | 1465 |
| LMArena French | 1423 | 1445 |
| LMArena German | 1406 | 1424 |
| LMArena Japanese | 1416 | 1381 |
| LMArena Korean | 1382 | 1372 |
| LMArena Russian | 1414 | 1430 |
| LMArena Spanish | 1454 | 1431 |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- MiniMax-M3: 75.7 (#56)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1433 |

## Long Context

- GLM-4.5: 38.2 (#196)
- MiniMax-M3: 44.2 (#68)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1413 | 1445 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- MiniMax-M3: 62.3 (#79)

| Benchmark | GLM-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1430 | 1433 |
| LMArena Creative Writing | 1395 | 1405 |
| LMArena Multi-Turn | 1415 | 1441 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| EQ-Bench 4 | — | 1150 |

## FAQ

### Is GLM-4.5 better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.5 to 41.4 on the Noometry Index.

### Which is cheaper, GLM-4.5 or MiniMax-M3?

MiniMax-M3 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-M3 better for coding?

They score almost the same on coding (41.1 vs 41.5); test both on your own repository before choosing.

### Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 131K.

### How many benchmarks do GLM-4.5 and MiniMax-M3 share?

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiniMax-M3 has 41.