Model comparison
Command R+ vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 53.3 to 32.4 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 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 28.9.
- The biggest single-benchmark swing is LMCA: 5% for Command R+ and 44.5% for GPT-6 Luna.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2.50 / $10 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.
Side by side
| Command R+ | GPT-6 Luna | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 32.4 | 53.3 |
| Released | 2024-08-30 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 128K |
| Input $ / M tokens | $2.50 | $0.10 |
| Output $ / M tokens | $10 | $0.50 |
| Results tracked | 34 | 42 |
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Category by category
Coding GPT-6 Luna leads
Command R+: 29.1 (#309), GPT-6 Luna: 55.5 (#25)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1187 | 1439 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1581 |
| SciCode | — | 54.6% |
| BigCodeBench Instruct | 33.8% | — |
| LiveBench Coding | 19.1% | — |
| BigCodeBench Complete | 41.9% | — |
| ALE-Bench | — | 1,577 |
| HumanEval+ | 56.7% | — |
| MBPP+ | 63.5% | — |
Agentic & Tool Use Not comparable
Command R+: —, GPT-6 Luna: 33.3 (#54)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| GDP.pdf | — | 23% |
Reasoning GPT-6 Luna leads
Command R+: 9.2 (#344), GPT-6 Luna: 48.2 (#41)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1186 | 1411 |
| DTBench | 54.9% | 90.1% |
| LMCA | 5% | 44.5% |
| Epoch Capabilities Index | 119.34 | 156.28 |
| ARC-AGI-2 | — | 59.3% |
| SimpleBench | 17.4% | — |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | — | 86.7% |
| CritPt | — | 19.4% |
| Chess Puzzles | — | 31% |
| LiveBench Reasoning | 24.8% | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 38.1% | — |
| LiveBench | 31.8% | — |
Math GPT-6 Luna leads
Command R+: 28.9 (#242), GPT-6 Luna: 76.1 (#15)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1188 | 1416 |
| FrontierMath (Tiers 1-3) | — | 78.9% |
| FrontierMath Tier 4 | — | 56.1% |
| OTIS Mock AIME 2024-2025 | — | 98.9% |
| ProofBench | — | 64% |
| LiveBench Math | 21.3% | — |
Knowledge GPT-6 Luna leads
Command R+: 36.4 (#169), GPT-6 Luna: 57.0 (#41)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1174 | 1444 |
| GPQA Diamond | — | 90.5% |
| SimpleQA Verified | — | 41.4% |
| Vectara Hallucination Rate | 6.9% | — |
| MMLU | 69.4% | — |
Multimodal Not comparable
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 GPT-6 Luna leads
Command R+: 38.6 (#227), GPT-6 Luna: 50.5 (#117)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1216 | 1386 |
| LMArena Chinese | 1226 | 1433 |
| LMArena French | 1209 | 1420 |
| LMArena German | 1216 | 1369 |
| LMArena Japanese | 1166 | 1369 |
| LMArena Korean | 1138 | 1360 |
| LMArena Russian | 1227 | 1394 |
| LMArena Spanish | 1189 | 1393 |
Instruction Following GPT-6 Luna leads
Command R+: 60.0 (#254), GPT-6 Luna: 74.3 (#99)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1197 | 1409 |
| LiveBench Instruction Following | 57.6% | — |
Long Context GPT-6 Luna leads
Command R+: 37.3 (#219), GPT-6 Luna: 43.0 (#111)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1230 | 1409 |
Writing & Preference GPT-6 Luna leads
Command R+: 43.5 (#228), GPT-6 Luna: 58.3 (#119)
| Benchmark | Command R+ | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1229 | 1391 |
| LMArena Creative Writing | 1235 | 1363 |
| LMArena Multi-Turn | 1213 | 1396 |
| LiveBench Language | 29.7% | — |
Frequently asked questions
Is Command R+ better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 32.4 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 $2.50 and $10.
Is Command R+ or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 29.1 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?
20 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and GPT-6 Luna has 42.