# GLM-4.5 vs MiniMax-M2.7

> GLM-4.5 is the stronger model overall, scoring 42.0 to 37.7 on the Noometry Index. MiniMax-M2.7 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-m2-7
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GLM-4.5 scores higher in 3 categories and MiniMax-M2.7 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5 leads 39.0 to 25.9.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- MiniMax-M2.7 accepts more context: 205K tokens versus 131K.

## Snapshot

| | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 42.0 | 37.7 |
| Rank | 122 | 196 |
| Context | 131K | 205K |
| Input $/M | $0.60 | $0.30 |
| Output $/M | $2.20 | $1.20 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.4 (#125)
- MiniMax-M2.7: 41.8 (#120)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| WeirdML | 40.6% | 37% |
| LMArena Coding | 1434 | 1454 |
| ALE-Bench | 344.82 | 599.25 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1398 |
| SciCode | — | 47% |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- MiniMax-M2.7: 25.1 (#111)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |

## Reasoning

- GLM-4.5: 28.6 (#100)
- MiniMax-M2.7: 19.7 (#253)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1422 |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| Epoch Capabilities Index | — | 145.85 |

## Math

- GLM-4.5: 39.0 (#116)
- MiniMax-M2.7: 25.9 (#263)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1427 | 1420 |
| ProofBench | — | 3% |

## Knowledge

- GLM-4.5: 35.9 (#179)
- MiniMax-M2.7: 37.7 (#152)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1433 | 1444 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 12.9% |

## Multilingual

- GLM-4.5: 52.8 (#77)
- MiniMax-M2.7: 50.3 (#123)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1417 | 1382 |
| LMArena Chinese | 1465 | 1441 |
| LMArena French | 1418 | 1421 |
| LMArena German | 1407 | 1398 |
| LMArena Japanese | 1415 | 1262 |
| LMArena Korean | 1380 | 1313 |
| LMArena Russian | 1414 | 1383 |
| LMArena Spanish | 1454 | 1403 |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- MiniMax-M2.7: 74.1 (#103)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1405 |

## Long Context

- GLM-4.5: 38.2 (#201)
- MiniMax-M2.7: 43.3 (#99)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1412 | 1419 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- MiniMax-M2.7: 58.9 (#112)

| Benchmark | GLM-4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1430 | 1405 |
| LMArena Creative Writing | 1395 | 1354 |
| LMArena Multi-Turn | 1415 | 1412 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than MiniMax-M2.7?

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.7 on the Noometry Index. MiniMax-M2.7 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-M2.7?

MiniMax-M2.7 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-M2.7 better for coding?

They score almost the same on coding (41.4 vs 41.8); test both on your own repository before choosing.

### Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 131K.

### How many benchmarks do GLM-4.5 and MiniMax-M2.7 share?

19 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiniMax-M2.7 has 30.