Model comparison
Grok 4.6 vs Grok 4.7
Grok 4.6 is the stronger model overall, scoring 56.9 to 53.1 on the Noometry Index.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. Grok 4.6 scores higher in 9 categories and Grok 4.7 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 49.1.
- The biggest single-benchmark swing is Furniture Assembly: 40% for Grok 4.6 and 20.8% for Grok 4.7.
- Both cost about the same: $2 input and $6 output per million tokens.
Side by side
| Grok 4.6 | Grok 4.7 | |
|---|---|---|
| Provider | xAI | xAI |
| Noometry Index | 56.9 | 53.1 |
| Released | 2026-08-12 | 2026-09-21 |
| Weights | Proprietary | Proprietary |
| Context window | 500K | 500K |
| Max output | 500K | 500K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $6 | $6 |
| Results tracked | 49 | 39 |
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Category by category
Coding Too close to call
Grok 4.6: 58.5 (#16), Grok 4.7: 58.0 (#18)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| FrontierCode | 48% | 47.6% |
| CursorBench | 41.4% | 46.3% |
| LMArena WebDev | 1617 | 1639 |
| FrontierSWE | 25.3% | 29.5% |
| SciCode | 56.5% | 57.8% |
| LMArena Coding | 1465 | 1427 |
| DeepSWE | 67.5% | — |
| WeirdML | 67.3% | — |
| ALE-Bench | 1,508 | — |
Agentic & Tool Use Grok 4.6 leads
Grok 4.6: 39.4 (#27), Grok 4.7: 36.7 (#37)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| APEX-Agents | 65.3% | 54.6% |
| GDP.pdf | 17.2% | 22.8% |
| Vending-Bench 2 | 9,047 | 10,537 |
Reasoning Grok 4.6 leads
Grok 4.6: 61.4 (#20), Grok 4.7: 49.1 (#40)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| NYT Connections (extended) | 80% | 76.8% |
| CritPt | 19.7% | 18% |
| Chess Puzzles | 40% | 38% |
| LMArena Hard Prompts | 1447 | 1413 |
| Mystery Game Puzzles | 34% | 29% |
| DTBench | 97.3% | 96% |
| LMCA | 48.5% | 49.4% |
| Epoch Capabilities Index | 156.44 | 153.53 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| ARC-AGI-1 | 87.5% | — |
| EBR-Bench | 30.5% | — |
Math Grok 4.6 leads
Grok 4.6: 67.0 (#24), Grok 4.7: 57.8 (#39)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 66% | 53% |
| FrontierMath Tier 4 | 31.7% | 17.1% |
| OTIS Mock AIME 2024-2025 | 99.2% | 98.1% |
| ProofBench | 51% | 34% |
| LMArena Math | 1423 | 1407 |
Knowledge Too close to call
Grok 4.6: 63.3 (#20), Grok 4.7: 62.8 (#22)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| GPQA Diamond | 94% | 92.7% |
| SimpleQA Verified | 49.3% | 56% |
| LMArena Expert | 1467 | 1422 |
Multimodal Grok 4.6 leads
Grok 4.6: 43.6 (#23), Grok 4.7: 35.5 (#87)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| LMArena Vision | 1263 | 1228 |
| Blueprint-Bench 2 | 33.2% | 32.5% |
| Furniture Assembly | 40% | 20.8% |
| LMArena Document | 1452 | — |
Multilingual Grok 4.6 leads
Grok 4.6: 53.0 (#74), Grok 4.7: 50.8 (#116)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1420 | 1389 |
| LMArena Chinese | 1480 | 1455 |
| LMArena French | 1461 | 1455 |
| LMArena Russian | 1422 | 1397 |
| LMArena Spanish | 1404 | 1400 |
| LMArena German | 1431 | — |
| LMArena Japanese | 1376 | — |
| LMArena Korean | 1397 | — |
Instruction Following Grok 4.6 leads
Grok 4.6: 75.4 (#63), Grok 4.7: 74.1 (#105)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1431 | 1404 |
Long Context Grok 4.6 leads
Grok 4.6: 44.5 (#66), Grok 4.7: 43.1 (#104)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1454 | 1413 |
Writing & Preference Grok 4.7 leads
Grok 4.6: 62.3 (#80), Grok 4.7: 70.0 (#24)
| Benchmark | Grok 4.6 | Grok 4.7 |
|---|---|---|
| LMArena Text | 1428 | 1399 |
| LMArena Creative Writing | 1428 | 1391 |
| LMArena Multi-Turn | 1425 | 1393 |
| EQ-Bench Creative Writing | — | 2007 |
Frequently asked questions
Is Grok 4.6 better than Grok 4.7?
Grok 4.6 is the stronger model overall, scoring 56.9 to 53.1 on the Noometry Index.
Which is cheaper, Grok 4.6 or Grok 4.7?
Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Grok 4.6 lists at $2 and $6.
Is Grok 4.6 or Grok 4.7 better for coding?
They score almost the same on coding (58.5 vs 58.0); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 500K tokens.
How many benchmarks do Grok 4.6 and Grok 4.7 share?
38 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Grok 4.7 has 39.