# Command R vs GPT-4.5

> GPT-4.5 is the stronger model overall, scoring 37.2 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-r-vs-gpt-4-5
- Last updated: 2026-10-11
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Command R scores higher in 0 categories and GPT-4.5 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 38.2.
- The biggest single-benchmark swing is LiveBench Coding: 17.9% for Command R and 75.2% for GPT-4.5.
- Command R has downloadable open weights; the other is API-only.

## Snapshot

| | Command R | GPT-4.5 |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.4 | 37.2 |
| Rank | 272 | 208 |
| Context | 128K | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Proprietary |

## Coding

- Command R: 29.3 (#306)
- GPT-4.5: 42.2 (#109)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Coding | 17.9% | 75.2% |
| LMArena Coding | 1169 | 1396 |
| Aider Polyglot | — | 44.9% |
| WeirdML | — | 39.4% |
| BigCodeBench Instruct | 37.1% | — |
| BigCodeBench Complete | 45.2% | — |

## Agentic & Tool Use

- Command R: —
- GPT-4.5: 27.9 (#97)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| Cybench | — | 17.5% |

## Reasoning

- Command R: 13.8 (#331)
- GPT-4.5: 13.9 (#330)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Reasoning | 21.9% | 71.1% |
| LMArena Hard Prompts | 1164 | 1403 |
| LiveBench Data Analysis | 33.3% | 64.3% |
| LiveBench | 27.5% | 69% |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| DTBench | 46.4% | — |
| LMCA | 9.2% | — |
| Epoch Capabilities Index | — | 136.74 |
| ForecastBench | — | 61.7 |

## Math

- Command R: 28.0 (#246)
- GPT-4.5: 32.6 (#211)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Math | 19.4% | 69.3% |
| LMArena Math | 1155 | 1412 |
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| MATH Level 5 | — | 78.6% |

## Knowledge

- Command R: 31.0 (#221)
- GPT-4.5: 32.5 (#211)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Expert | 1138 | 1394 |
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| MMLU | 65.2% | — |

## Multimodal

- Command R: —
- GPT-4.5: 37.6 (#71)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |

## Multilingual

- Command R: 35.7 (#245)
- GPT-4.5: 52.5 (#83)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1174 | 1413 |
| LMArena Chinese | 1182 | 1421 |
| LMArena French | 1162 | 1418 |
| LMArena German | 1176 | 1457 |
| LMArena Japanese | 1143 | 1416 |
| LMArena Korean | 1163 | 1392 |
| LMArena Russian | 1174 | 1419 |
| LMArena Spanish | 1151 | — |

## Instruction Following

- Command R: 58.1 (#261)
- GPT-4.5: 72.6 (#134)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Instruction Following | 55.6% | 72.3% |
| LMArena Instruction Following | 1167 | 1404 |

## Long Context

- Command R: 36.3 (#231)
- GPT-4.5: 40.4 (#155)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1198 | 1406 |
| Fiction.LiveBench | — | 63.9% |

## Writing & Preference

- Command R: 38.2 (#254)
- GPT-4.5: 56.9 (#134)

| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Text | 1187 | 1417 |
| LMArena Creative Writing | 1170 | 1394 |
| LMArena Multi-Turn | 1163 | 1444 |
| LiveBench Language | 16.7% | 61.5% |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench Creative Writing | — | 1258 |

## FAQ

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

GPT-4.5 is the stronger model overall, scoring 37.2 to 31.4 on the Noometry Index.

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

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 29.3 in the Noometry coding category.

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

23 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GPT-4.5 has 42.
