# GLM-4.7 vs MiniMax-M2

> GLM-4.7 is the stronger model overall, scoring 42.0 to 37.4 on the Noometry Index. MiniMax-M2 costs 1.9× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-minimax-m2
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.7 scores higher in 9 categories and MiniMax-M2 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 37.0.
- MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.

## Snapshot

| | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 42.0 | 37.4 |
| Rank | 124 | 204 |
| Context | 205K | 205K |
| Input $/M | $0.60 | $0.30 |
| Output $/M | $2.20 | $1.20 |
| Weights | Open | Open |

## Coding

- GLM-4.7: 44.0 (#79)
- MiniMax-M2: 39.3 (#159)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena WebDev | 1435 | 1297 |
| LMArena Coding | 1454 | 1370 |
| SWE-bench Verified (bash only) | — | 61% |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |

## Agentic & Tool Use

- GLM-4.7: 26.5 (#103)
- MiniMax-M2: 25.1 (#109)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| Terminal-Bench | 33.4% | 30% |
| Vending-Bench 2 | 2,377 | 160.6 |

## Reasoning

- GLM-4.7: 24.3 (#164)
- MiniMax-M2: 19.4 (#258)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1357 |
| SimpleBench | 47.7% | — |
| Kagi LLM Benchmark | — | 57.8% |
| NYT Connections (extended) | — | 14.8% |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.51 | — |

## Math

- GLM-4.7: 38.6 (#135)
- MiniMax-M2: 37.3 (#160)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena Math | 1423 | 1352 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#80)
- MiniMax-M2: 37.0 (#163)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena Expert | 1424 | 1337 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |

## Multilingual

- GLM-4.7: 52.8 (#79)
- MiniMax-M2: 45.3 (#171)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | 1417 | 1313 |
| LMArena Chinese | 1495 | 1366 |
| LMArena French | 1432 | 1335 |
| LMArena German | 1424 | 1355 |
| LMArena Russian | 1423 | 1331 |
| LMArena Spanish | 1434 | 1326 |
| LMArena Japanese | 1439 | — |
| LMArena Korean | 1399 | — |

## Instruction Following

- GLM-4.7: 74.4 (#95)
- MiniMax-M2: 70.2 (#166)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1328 |

## Long Context

- GLM-4.7: 42.8 (#116)
- MiniMax-M2: 40.5 (#153)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | 1432 | 1331 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 60.9 (#93)
- MiniMax-M2: 53.0 (#162)

| Benchmark | GLM-4.7 | MiniMax-M2 |
|---|---|---|
| LMArena Text | 1435 | 1340 |
| LMArena Creative Writing | 1401 | 1286 |
| LMArena Multi-Turn | 1446 | 1361 |
| EQ-Bench Creative Writing | 1413 | — |

## FAQ

### Is GLM-4.7 better than MiniMax-M2?

GLM-4.7 is the stronger model overall, scoring 42.0 to 37.4 on the Noometry Index. MiniMax-M2 costs 1.9× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7 or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

### Is GLM-4.7 or MiniMax-M2 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 39.3 in the Noometry coding category.

### Which has the bigger context window?

Both accept 205K tokens.

### How many benchmarks do GLM-4.7 and MiniMax-M2 share?

18 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and MiniMax-M2 has 21.