Grok 4.7 Coding Benchmark
How Grok 4.7 ranks on the LLM Coding Leaderboard, shown next to the three models directly above and below it, with the top three models included for reference.
- Last evaluated: 2 weeks ago (October 1, 2026), with Cursor.
| # | Model | Total points (max 80) |
Avg cost per prompt |
Avg time per prompt |
Video | Tested with | Points per project | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Laravel Code Quality
(max 20) |
React-TS Code Quality
(max 20) |
Bug Finding Test
(max 20) |
CSV Import (PHP) | Offline Sync (PHP) | Bank Feed (Dart / Flutter) | Shipping Quotes (Go) | |||||||
| 1 | GPT-6.1-Sol (High) | 68.1 | $0.22 | 07:26 | Codex CLI | 19.1 | 19 | 10 | 5 | 5 | 5 | 5 | |
| 2 | Opus 5.5 (High) | 67.41 | $0.79 | 03:10 | Claude Code | 18.5 | 19.33 | 9.58 | 5 | 5 | 5 | 5 | |
| 3 | GPT-6.1-Sol (Medium) | 67.09 | $0.14 | 03:53 | Codex CLI | 18.63 | 18.67 | 9.79 | 5 | 5 | 5 | 5 | |
| ⋯ 5 places not shown ⋯ | |||||||||||||
| 9 | Fable 5.1 (Medium) | 61.03 | $1.53 | 03:06 | Claude Code | 18.55 | 16.83 | 7.4 | 4.5 | 3.75 | 5 | 5 | |
| 10 | Opus 5.5 (Low) | 60.57 | $0.37 | 01:13 | Claude Code | 17.52 | 17.17 | 6.88 | 5 | 5 | 5 | 4 | |
| 11 | Sonnet 5.5 (Medium) | 60.54 | $0.20 | 00:58 | Claude Code | 17.88 | 18.33 | 7.08 | 4.5 | 3.75 | 5 | 4 | |
| 12 | Grok 4.7 (High) | 60.09 | $1.85 | 23:27 | Cursor | 17.7 | 18.33 | 7.81 | 4 | 3.75 | 5 | 3.5 | |
| 13 | GPT-6-Sol (High) | 59.92 | $0.31 | 05:18 | Codex CLI | 17.67 | 17.5 | 7.5 | 3.5 | 4.25 | 4.5 | 5 | |
| 14 | GPT-6-Luna (Max) | 59.07 | $0.03 | 11:03 | Codex CLI | 18.12 | 17.17 | 7.08 | 5 | 4 | 3.2 | 4.5 | |
| 15 | Haiku 5.5 (High) | 58.63 | $0.05 | 03:37 | Claude Code | 17.3 | 17 | 7.08 | 4.5 | 4.75 | 3 | 5 | |
Tutorials about Grok 4.7
Video
· Sep 22, 2026
I Tested NEW Grok 4.7 on Coding: Another Over-Hyped LLM?
How to read this
- Each score measures a model-and-harness configuration, not the model in isolation.
- Prices are calculated with API costs. Models tested on a subscription plan show N/A.
- Full methodology and scoring formulas are explained in this article.
See every tested model side by side on the full LLM Coding Leaderboard.
