# Command R vs GPT-6 Luna

> GPT-6 Luna is the stronger model overall, scoring 53.3 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-r-vs-gpt-6-luna
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Command R scores higher in 0 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 28.0.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 90.1% for GPT-6 Luna.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.15 / $0.60 for Command R.
- GPT-6 Luna accepts more context: 1.05M tokens versus 128K.
- Command R has downloadable open weights; the other is API-only.

## Snapshot

| | Command R | GPT-6 Luna |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.4 | 53.3 |
| Rank | 272 | 36 |
| Context | 128K | 1.05M |
| Input $/M | $0.15 | $0.10 |
| Output $/M | $0.60 | $0.50 |
| Weights | Open | Proprietary |

## Coding

- Command R: 29.3 (#306)
- GPT-6 Luna: 55.5 (#25)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1169 | 1439 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1581 |
| SciCode | — | 54.6% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 1,577 |

## Agentic & Tool Use

- Command R: —
- GPT-6 Luna: 33.3 (#54)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| GDP.pdf | — | 23% |

## Reasoning

- Command R: 13.8 (#331)
- GPT-6 Luna: 48.2 (#41)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1411 |
| DTBench | 46.4% | 90.1% |
| LMCA | 9.2% | 44.5% |
| ARC-AGI-2 | — | 59.3% |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | — | 86.7% |
| CritPt | — | 19.4% |
| Chess Puzzles | — | 31% |
| LiveBench Reasoning | 21.9% | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 33.3% | — |
| Epoch Capabilities Index | — | 156.28 |
| LiveBench | 27.5% | — |

## Math

- Command R: 28.0 (#246)
- GPT-6 Luna: 76.1 (#15)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1155 | 1416 |
| FrontierMath (Tiers 1-3) | — | 78.9% |
| FrontierMath Tier 4 | — | 56.1% |
| OTIS Mock AIME 2024-2025 | — | 98.9% |
| ProofBench | — | 64% |
| LiveBench Math | 19.4% | — |

## Knowledge

- Command R: 31.0 (#221)
- GPT-6 Luna: 57.0 (#41)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1138 | 1444 |
| GPQA Diamond | — | 90.5% |
| SimpleQA Verified | — | 41.4% |
| MMLU | 65.2% | — |

## Multimodal

- Command R: —
- GPT-6 Luna: 42.4 (#30)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Vision | — | 1217 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 44.2% |

## Multilingual

- Command R: 35.7 (#245)
- GPT-6 Luna: 50.5 (#117)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1174 | 1386 |
| LMArena Chinese | 1182 | 1433 |
| LMArena French | 1162 | 1420 |
| LMArena German | 1176 | 1369 |
| LMArena Japanese | 1143 | 1369 |
| LMArena Korean | 1163 | 1360 |
| LMArena Russian | 1174 | 1394 |
| LMArena Spanish | 1151 | 1393 |

## Instruction Following

- Command R: 58.1 (#261)
- GPT-6 Luna: 74.3 (#99)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1167 | 1409 |
| LiveBench Instruction Following | 55.6% | — |

## Long Context

- Command R: 36.3 (#231)
- GPT-6 Luna: 43.0 (#111)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1198 | 1409 |

## Writing & Preference

- Command R: 38.2 (#254)
- GPT-6 Luna: 58.3 (#119)

| Benchmark | Command R | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1187 | 1391 |
| LMArena Creative Writing | 1170 | 1363 |
| LMArena Multi-Turn | 1163 | 1396 |
| LiveBench Language | 16.7% | — |

## FAQ

### Is Command R better than GPT-6 Luna?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 31.4 on the Noometry Index.

### Which is cheaper, Command R or GPT-6 Luna?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Command R lists at $0.15 and $0.60.

### Is Command R or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 29.3 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 128K.

### How many benchmarks do Command R and GPT-6 Luna share?

19 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GPT-6 Luna has 42.