# GLM-4.7 vs Grok 4.20 Multi-Agent

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.0 on the Noometry Index. GLM-4.7 costs 1.6× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-grok-4-20-multi-agent
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.7 scores higher in 2 categories and Grok 4.20 Multi-Agent in 6 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 24.3.
- GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 205K.
- GLM-4.7 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 42.0 | 46.2 |
| Rank | 124 | 65 |
| Context | 205K | 1M |
| Input $/M | $0.60 | $1.25 |
| Output $/M | $2.20 | $2.50 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7: 44.0 (#79)
- Grok 4.20 Multi-Agent: 43.0 (#92)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1454 | 1457 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |

## Agentic & Tool Use

- GLM-4.7: 26.5 (#103)
- Grok 4.20 Multi-Agent: —

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| LMArena Search | — | 1204 |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 24.3 (#164)
- Grok 4.20 Multi-Agent: 43.9 (#48)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1448 |
| SimpleBench | 47.7% | — |
| NYT Connections (extended) | — | 89.6% |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.51 | — |

## Math

- GLM-4.7: 38.6 (#135)
- Grok 4.20 Multi-Agent: 39.4 (#104)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | 1423 | 1442 |
| 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)
- Grok 4.20 Multi-Agent: 40.4 (#119)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1424 | 1445 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |

## Multimodal

- GLM-4.7: —
- Grok 4.20 Multi-Agent: 40.5 (#48)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | — | 1259 |

## Multilingual

- GLM-4.7: 52.8 (#79)
- Grok 4.20 Multi-Agent: 54.4 (#43)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 1417 | 1440 |
| LMArena Chinese | 1495 | 1475 |
| LMArena French | 1432 | 1466 |
| LMArena German | 1424 | 1456 |
| LMArena Japanese | 1439 | 1405 |
| LMArena Korean | 1399 | 1416 |
| LMArena Russian | 1423 | 1457 |
| LMArena Spanish | 1434 | 1447 |

## Instruction Following

- GLM-4.7: 74.4 (#95)
- Grok 4.20 Multi-Agent: 74.8 (#84)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1411 | 1420 |

## Long Context

- GLM-4.7: 42.8 (#116)
- Grok 4.20 Multi-Agent: 43.7 (#88)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1432 | 1431 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 60.9 (#93)
- Grok 4.20 Multi-Agent: 64.0 (#59)

| Benchmark | GLM-4.7 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1435 | 1450 |
| LMArena Creative Writing | 1401 | 1436 |
| LMArena Multi-Turn | 1446 | 1452 |
| EQ-Bench Creative Writing | 1413 | — |

## FAQ

### Is GLM-4.7 better than Grok 4.20 Multi-Agent?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.0 on the Noometry Index. GLM-4.7 costs 1.6× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7 or Grok 4.20 Multi-Agent?

GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

### Is GLM-4.7 or Grok 4.20 Multi-Agent better for coding?

They score almost the same on coding (44.0 vs 43.0); test both on your own repository before choosing.

### Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 205K.

### How many benchmarks do GLM-4.7 and Grok 4.20 Multi-Agent share?

17 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Grok 4.20 Multi-Agent has 20.