# Command R vs GLM-4.5

> GLM-4.5 is the stronger model overall, scoring 42.0 to 31.4 on the Noometry Index. Command R costs 3.8× 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/command-r-vs-glm-4-5
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Command R scores higher in 0 categories and GLM-4.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5 leads 57.5 to 38.2.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.5 accepts more context: 131K tokens versus 128K.

## Snapshot

| | Command R | GLM-4.5 |
|---|---|---|
| Provider | Cohere | Z.ai (Zhipu) |
| Noometry Index | 31.4 | 42.0 |
| Rank | 272 | 122 |
| Context | 128K | 131K |
| Input $/M | $0.15 | $0.60 |
| Output $/M | $0.60 | $2.20 |
| Weights | Open | Open |

## Coding

- Command R: 29.3 (#306)
- GLM-4.5: 41.4 (#125)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Coding | 1169 | 1434 |
| SWE-bench Verified (bash only) | — | 54.2% |
| WeirdML | — | 40.6% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |

## Reasoning

- Command R: 13.8 (#331)
- GLM-4.5: 28.6 (#100)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1429 |
| Kagi LLM Benchmark | — | 57.9% |
| LiveBench Reasoning | 21.9% | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |

## Math

- Command R: 28.0 (#246)
- GLM-4.5: 39.0 (#116)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Math | 1155 | 1427 |
| LiveBench Math | 19.4% | — |

## Knowledge

- Command R: 31.0 (#221)
- GLM-4.5: 35.9 (#179)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Expert | 1138 | 1433 |
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
| MMLU | 65.2% | — |

## Multilingual

- Command R: 35.7 (#245)
- GLM-4.5: 52.8 (#77)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1174 | 1417 |
| LMArena Chinese | 1182 | 1465 |
| LMArena French | 1162 | 1418 |
| LMArena German | 1176 | 1407 |
| LMArena Japanese | 1143 | 1415 |
| LMArena Korean | 1163 | 1380 |
| LMArena Russian | 1174 | 1414 |
| LMArena Spanish | 1151 | 1454 |

## Instruction Following

- Command R: 58.1 (#261)
- GLM-4.5: 74.1 (#104)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1167 | 1404 |
| LiveBench Instruction Following | 55.6% | — |

## Long Context

- Command R: 36.3 (#231)
- GLM-4.5: 38.2 (#201)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Longer Query | 1198 | 1412 |
| Fiction.LiveBench | — | 58.3% |

## Writing & Preference

- Command R: 38.2 (#254)
- GLM-4.5: 57.5 (#127)

| Benchmark | Command R | GLM-4.5 |
|---|---|---|
| LMArena Text | 1187 | 1430 |
| LMArena Creative Writing | 1170 | 1395 |
| LMArena Multi-Turn | 1163 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
| LiveBench Language | 16.7% | — |

## FAQ

### Is Command R better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 31.4 on the Noometry Index. Command R costs 3.8× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

### Which is cheaper, Command R or GLM-4.5?

Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is Command R or GLM-4.5 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 29.3 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.5 does, with 131K tokens against 128K.

### How many benchmarks do Command R and GLM-4.5 share?

17 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GLM-4.5 has 27.