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Grok 4.7 Coding Benchmark

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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: 1 month ago (October 1, 2026), with Cursor.

# Model Total points
(max 70)
Avg cost
per prompt
Avg time
per prompt
Video Tested with Points per project Consistency penalty
Laravel Code Quality
(max 20)
React-TS Code Quality
(max 20)
Bug Finding Test
(max 10)
Edge-case Testing
(4 projects, max 20)
1 Opus 5.5 (High) 67.26 $0.83 03:42
Claude Code
18.68 19 9.58 20 0
2 GPT-6-Astra (High) 66.35 $0.96 04:34
Codex CLI
18.6 18.17 9.58 20 0
3 GPT-6-Astra (Medium) 66.03 $0.69 03:08
Codex CLI
18.2 17.83 10 20 0
⋯ 9 places not shown ⋯
13 GPT-6.1-Terra (Max) 60.41 $0.27 07:55
Codex CLI
17.82 18.17 7.92 16.5 0
14 Opus 5.5 (Low) 60.1 $0.37 01:21
Claude Code
17.37 18.17 6.46 18.5 −0.40
15 Sonnet 5.5 (Medium) 60.04 $0.20 00:58
Claude Code
17.88 18.33 7.08 17.25 −0.50
16 Grok 4.7 (High) 59.59 $1.85 23:27
Cursor
17.7 18.33 7.81 16.25 −0.50
17 Haiku 5.5 (High) 59.03 $0.05 03:37
Claude Code
17.3 18 7.08 17.25 −0.60
18 Kimi K3.1 Pro (High) 58.46 $0.25 05:23
OpenCode
17.7 17.33 7.71 17.25 −1.53
19 Haiku 5.5 (Medium) 58.2 $0.03 02:37
Claude Code
17.32 17 6.88 17 0

Videos about Grok 4.7


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.

Povilas Korop

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