Model comparison
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.
Last verified . 35 shared benchmarks.
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.
Side by side
| GPT-6 Luna | Grok 4.7 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 53.3 | 53.1 |
| Released | 2026-09-22 | 2026-09-21 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 500K |
| Max output | 128K | 500K |
| Input $ / M tokens | $0.10 | $2 |
| Output $ / M tokens | $0.50 | $6 |
| Results tracked | 42 | 39 |
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Category by category
Coding Grok 4.7 leads
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 Grok 4.7 leads
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 Too close to call
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 leads
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 Grok 4.7 leads
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 leads
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 Too close to call
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 Too close to call
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 Too close to call
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 Grok 4.7 leads
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 |
Frequently asked questions
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.