Model comparison
Command A vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 45.1 to 35.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Command A scores higher in 0 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 26.8.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2.50 / $10 for Command A.
- GPT-6 Luna accepts more context: 1.05M tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | GPT-6 Luna | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 35.9 | 45.1 |
| Released | 2025-03-13 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | 256K | 1.05M |
| Max output | 8K | 128K |
| Input $ / M tokens | $2.50 | $0.10 |
| Output $ / M tokens | $10 | $0.50 |
| Results tracked | 24 | 18 |
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Category by category
Coding GPT-6 Luna leads
Command A: 26.8 (#317), GPT-6 Luna: 54.7 (#24)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1331 | 1448 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1583 |
Agentic & Tool Use Not comparable
Command A: 35.7 (#36), GPT-6 Luna: —
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning GPT-6 Luna leads
Command A: 17.7 (#276), GPT-6 Luna: 31.7 (#68)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1415 |
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 68.7% |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
Math GPT-6 Luna leads
Command A: 33.5 (#172), GPT-6 Luna: 35.6 (#140)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1300 | 1396 |
Knowledge GPT-6 Luna leads
Command A: 36.5 (#157), GPT-6 Luna: 40.1 (#110)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1295 | 1458 |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
Command A: —, GPT-6 Luna: 42.0 (#27)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| Furniture Assembly | — | 44.2% |
Multilingual GPT-6 Luna leads
Command A: 45.5 (#166), GPT-6 Luna: 51.0 (#111)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1313 | 1390 |
| LMArena Chinese | 1327 | 1425 |
| LMArena Russian | 1314 | 1392 |
| LMArena Spanish | 1346 | 1416 |
| LMArena French | 1352 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1283 | — |
| LMArena Korean | 1285 | — |
Instruction Following GPT-6 Luna leads
Command A: 69.3 (#172), GPT-6 Luna: 74.7 (#85)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1309 | 1414 |
Long Context GPT-6 Luna leads
Command A: 40.6 (#147), GPT-6 Luna: 43.3 (#95)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1334 | 1417 |
Writing & Preference GPT-6 Luna leads
Command A: 47.8 (#204), GPT-6 Luna: 58.4 (#115)
| Benchmark | Command A | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1331 | 1392 |
| LMArena Creative Writing | 1319 | 1357 |
| LMArena Multi-Turn | 1338 | 1400 |
| EQ-Bench Creative Writing | 1145 | — |
Frequently asked questions
Is Command A better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 35.9 on the Noometry Index.
Which is cheaper, Command A 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 A lists at $2.50 and $10.
Is Command A or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 26.8 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 256K.
How many benchmarks do Command A and GPT-6 Luna share?
13 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-6 Luna has 18.