Model comparison
GPT-6 Luna vs Grok 4.20 Multi-Agent
GPT-6 Luna and Grok 4.20 Multi-Agent score almost the same on the Noometry Index (45.1 vs 45.5), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-6 Luna scores higher in 3 categories and Grok 4.20 Multi-Agent in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 42.4.
- The biggest single-benchmark swing is NYT Connections (extended): 68.7% for GPT-6 Luna and 89.6% for Grok 4.20 Multi-Agent.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- GPT-6 Luna accepts more context: 1.05M tokens versus 1M.
Side by side
| GPT-6 Luna | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 45.1 | 45.5 |
| Released | 2026-09-22 | 2026-03-09 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 30K |
| Input $ / M tokens | $0.10 | $1.25 |
| Output $ / M tokens | $0.50 | $2.50 |
| Results tracked | 18 | 20 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 54.7 (#24), Grok 4.20 Multi-Agent: 42.4 (#91)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1448 | 1458 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
Agentic & Tool Use Not comparable
GPT-6 Luna: —, Grok 4.20 Multi-Agent: —
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Search | — | 1204 |
Reasoning Grok 4.20 Multi-Agent leads
GPT-6 Luna: 31.7 (#68), Grok 4.20 Multi-Agent: 42.4 (#44)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| NYT Connections (extended) | 68.7% | 89.6% |
| LMArena Hard Prompts | 1415 | 1448 |
Math Grok 4.20 Multi-Agent leads
GPT-6 Luna: 35.6 (#140), Grok 4.20 Multi-Agent: 36.6 (#106)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | 1396 | 1441 |
Knowledge Too close to call
GPT-6 Luna: 40.1 (#110), Grok 4.20 Multi-Agent: 39.7 (#116)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1458 | 1445 |
Multimodal GPT-6 Luna leads
GPT-6 Luna: 42.0 (#27), Grok 4.20 Multi-Agent: 39.8 (#44)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | — | 1259 |
| Furniture Assembly | 44.2% | — |
Multilingual Grok 4.20 Multi-Agent leads
GPT-6 Luna: 51.0 (#111), Grok 4.20 Multi-Agent: 54.6 (#40)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 1390 | 1440 |
| LMArena Chinese | 1425 | 1475 |
| LMArena Russian | 1392 | 1457 |
| LMArena Spanish | 1416 | 1447 |
| LMArena French | — | 1467 |
| LMArena German | — | 1456 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1416 |
Instruction Following Too close to call
GPT-6 Luna: 74.7 (#85), Grok 4.20 Multi-Agent: 75.0 (#80)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1414 | 1420 |
Long Context Too close to call
GPT-6 Luna: 43.3 (#95), Grok 4.20 Multi-Agent: 43.7 (#84)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1417 | 1430 |
Writing & Preference Grok 4.20 Multi-Agent leads
GPT-6 Luna: 58.4 (#115), Grok 4.20 Multi-Agent: 64.1 (#57)
| Benchmark | GPT-6 Luna | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1392 | 1450 |
| LMArena Creative Writing | 1357 | 1435 |
| LMArena Multi-Turn | 1400 | 1451 |
Frequently asked questions
Is GPT-6 Luna better than Grok 4.20 Multi-Agent?
GPT-6 Luna and Grok 4.20 Multi-Agent score almost the same on the Noometry Index (45.1 vs 45.5), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-6 Luna or Grok 4.20 Multi-Agent?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is GPT-6 Luna or Grok 4.20 Multi-Agent better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 1M.
How many benchmarks do GPT-6 Luna and Grok 4.20 Multi-Agent share?
14 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Grok 4.20 Multi-Agent has 20.