# GPT-6 Luna vs Grok 4.7

> GPT-6 Luna and Grok 4.7 score almost the same on the Noometry Index (53.3 vs 53.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-grok-4-7
- Last updated: 2026-10-10
- Shared benchmarks: 35

## Summary

- They share 35 benchmarks with published results for both. GPT-6 Luna scores higher in 3 categories and Grok 4.7 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 57.8.
- The biggest single-benchmark swing is FrontierMath Tier 4: 56.1% for GPT-6 Luna and 17.1% for Grok 4.7.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $6 for Grok 4.7.
- GPT-6 Luna accepts more context: 1.05M tokens versus 500K.

## Snapshot

| | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 53.3 | 53.1 |
| Rank | 36 | 37 |
| Context | 1.05M | 500K |
| Input $/M | $0.10 | $2 |
| Output $/M | $0.50 | $6 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-6 Luna: 55.5 (#25)
- Grok 4.7: 58.0 (#18)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| FrontierCode | 42.4% | 47.6% |
| LMArena WebDev | 1581 | 1639 |
| SciCode | 54.6% | 57.8% |
| LMArena Coding | 1439 | 1427 |
| DeepSWE | 66.6% | — |
| CursorBench | — | 46.3% |
| FrontierSWE | — | 29.5% |
| ALE-Bench | 1,577 | — |

## Agentic & Tool Use

- GPT-6 Luna: 33.3 (#54)
- Grok 4.7: 36.7 (#37)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| APEX-Agents | 44.3% | 54.6% |
| GDP.pdf | 23% | 22.8% |
| Vending-Bench 2 | — | 10,537 |

## Reasoning

- GPT-6 Luna: 48.2 (#41)
- Grok 4.7: 49.1 (#40)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| NYT Connections (extended) | 68.7% | 76.8% |
| CritPt | 19.4% | 18% |
| Chess Puzzles | 31% | 38% |
| LMArena Hard Prompts | 1411 | 1413 |
| Mystery Game Puzzles | 7% | 29% |
| DTBench | 90.1% | 96% |
| LMCA | 44.5% | 49.4% |
| Epoch Capabilities Index | 156.28 | 153.53 |
| ARC-AGI-2 | 59.3% | — |
| ARC-AGI-1 | 86.7% | — |

## Math

- GPT-6 Luna: 76.1 (#15)
- Grok 4.7: 57.8 (#39)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 78.9% | 53% |
| FrontierMath Tier 4 | 56.1% | 17.1% |
| OTIS Mock AIME 2024-2025 | 98.9% | 98.1% |
| ProofBench | 64% | 34% |
| LMArena Math | 1416 | 1407 |

## Knowledge

- GPT-6 Luna: 57.0 (#41)
- Grok 4.7: 62.8 (#22)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| GPQA Diamond | 90.5% | 92.7% |
| SimpleQA Verified | 41.4% | 56% |
| LMArena Expert | 1444 | 1422 |

## Multimodal

- GPT-6 Luna: 42.4 (#30)
- Grok 4.7: 35.5 (#87)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| LMArena Vision | 1217 | 1228 |
| Blueprint-Bench 2 | 31.2% | 32.5% |
| Furniture Assembly | 44.2% | 20.8% |

## Multilingual

- GPT-6 Luna: 50.5 (#117)
- Grok 4.7: 50.8 (#116)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1386 | 1389 |
| LMArena Chinese | 1433 | 1455 |
| LMArena French | 1420 | 1455 |
| LMArena Russian | 1394 | 1397 |
| LMArena Spanish | 1393 | 1400 |
| LMArena German | 1369 | — |
| LMArena Japanese | 1369 | — |
| LMArena Korean | 1360 | — |

## Instruction Following

- GPT-6 Luna: 74.3 (#99)
- Grok 4.7: 74.1 (#105)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1409 | 1404 |

## Long Context

- GPT-6 Luna: 43.0 (#111)
- Grok 4.7: 43.1 (#104)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1409 | 1413 |

## Writing & Preference

- GPT-6 Luna: 58.3 (#119)
- Grok 4.7: 70.0 (#24)

| Benchmark | GPT-6 Luna | Grok 4.7 |
|---|---|---|
| LMArena Text | 1391 | 1399 |
| LMArena Creative Writing | 1363 | 1391 |
| LMArena Multi-Turn | 1396 | 1393 |
| EQ-Bench Creative Writing | — | 2007 |

## FAQ

### Is GPT-6 Luna better than Grok 4.7?

GPT-6 Luna and Grok 4.7 score almost the same on the Noometry Index (53.3 vs 53.1), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-6 Luna or Grok 4.7?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Grok 4.7 lists at $2 and $6.

### Is GPT-6 Luna or Grok 4.7 better for coding?

Grok 4.7 scores higher on coding benchmarks: 58.0 versus 55.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 500K.

### How many benchmarks do GPT-6 Luna and Grok 4.7 share?

35 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Grok 4.7 has 39.