Ranking

Best AI model for coding (October 2026)

21 AI coding models with at least 5 posts, ranked by how often the post’s author picked them as the better result across 377 coding posts from X (114 name a winner). Each row links to the model and its most-compared matchups. This is a tally of authors’ own verdicts on different tasks, not a controlled benchmark.

Ranking by author picks

21
#ModelCoding postsAuthor picksMedian stated cost (n)Median stated time (n)Most tested inTop matchups
1Claude Opus 5.5Anthropic19160 of 71 (85%)$10.17 (85)47 min (69)3D & Shaders, Simulationsvs Gemini 4 Argon
vs GPT-6 Astra
vs DeepSeek V4.1 Flash 1017
2DeepSeek V4.1 Flash 1017DeepSeek10114 of 33 (42%)$0.46 (32)57.5 min (36)3D & Shaders, Animations/SVGvs Claude Opus 5.5
vs Gemini 4 Argon
vs GPT-6.1 Sol
3Claude Sonnet 5.5Anthropic326 of 9 (67%)$7.36 (9)1 h 03 min (9)3D & Shaders, Simulationsvs Claude Opus 5.5
vs GPT-6.1 Sol
vs GPT-6 Astra
4GPT-6.1 SolOpenAI566 of 20 (30%)$1.13 (27)21 min (29)3D & Shaders, Simulationsvs Claude Opus 5.5
vs Gemini 4 Argon
vs DeepSeek V4.1 Flash 1017
5GPT-6 AstraOpenAI756 of 30 (20%)$13.17 (26)23 min (19)3D & Shaders, Simulationsvs Claude Opus 5.5
vs Gemini 4 Argon
vs Claude Sonnet 5.5
6Gemini 4 ArgonGoogle994 of 34 (12%)$1.50 (37)24 min (34)3D & Shaders, Animations/SVGvs Claude Opus 5.5
vs GPT-6 Astra
vs GPT-6.1 Sol
7Kimi K3Moonshot AI162 of 5 (40%)$15.58 (3)—3D & Shaders, Gamesvs Claude Opus 5.5
vs GPT-6 Astra
vs Gemini 4 Argon
8Claude Opus 5Anthropic121 of 1 (100%)$10.00 (3)2 h (4)Games, 3D & Shadersvs GPT-5.6 Sol
vs DeepSeek V4.1 Flash 1017
vs Kimi K3
9GPT-6 LunaOpenAI71 of 1 (100%)—43 s (3)3D & Shaders, Animations/SVGvs Claude Haiku 5.5
vs GPT-6 Sol
vs GPT-6 Astra
10Gemini 4 ProGoogle61 of 1 (100%)——3D & Shaders, Simulationsvs GPT-6 Astra
vs Claude Opus 5.5
11GLM 5.3Zhipu AI (Z.ai)51 of 1 (100%)——Animations/SVG, 3D & Shadersvs Claude Opus 5.5
12GLM 5.3 FlashZhipu AI (Z.ai)121 of 2 (50%)—27 min (3)3D & Shaders, Web/UIvs DeepSeek V4.1 Flash 1017
vs Gemini 3.8 Flash
vs Claude Haiku 5.5
13GPT-6 SolOpenAI91 of 2 (50%)——3D & Shaders, Gamesvs GPT-6 Luna
vs DeepSeek V4.1 Flash 1017
vs GPT-6 Astra
14DeepSeek V4 Pro 0813DeepSeek61 of 2 (50%)——Games, 3D & Shadersvs Claude Opus 5.5
vs GPT-6.1 Sol
15Claude Fable 5Anthropic131 of 3 (33%)$2.16 (4)20 min (3)Games, 3D & Shadersvs GPT-5.6 Sol
vs Kimi K3
vs Claude Opus 4.8
16DeepSeek V4.1 FlashDeepSeek240 of 11 (0%)$0.12 (8)30.9 min (6)3D & Shaders, Animations/SVGvs DeepSeek V4.1 Flash 1017
vs Claude Opus 5.5
vs GPT-6 Astra
17Claude Haiku 5.5Anthropic170 of 4 (0%)$0.43 (5)10 min (5)3D & Shaders, Animations/SVGvs Claude Opus 5.5
vs GPT-6 Luna
vs DeepSeek V4.1 Flash 1017
18Grok 4.7xAI170 of 5 (0%)$3.98 (5)1 h 16 min (10)3D & Shaders, Simulationsvs Claude Opus 5.5
vs Gemini 4 Argon
vs GPT-6.1 Sol
19Muse Wonder 1.0Meta140 of 5 (0%)$1.64 (9)12 min (9)3D & Shaders, Gamesvs Gemini 4 Argon
vs Claude Opus 5.5
vs GPT-6.1 Sol
20GPT-5.6 SolOpenAI100 of 1 (0%)$1.53 (3)—3D & Shaders, Animations/SVGvs Claude Fable 5
vs Kimi K3
vs Claude Opus 5
21Claude Fable 5.1Anthropic80 of 3 (0%)——Animations/SVG, 3D & Shadersvs GPT-6 Astra
vs Claude Opus 5.5

Author picks: posts with two or more different models where the author named a winner; “12 of 20” means the model was picked in 12 of the 20 such posts it appears in. Medians use the cost or time each post states for that model (shown with at least 3 values); tasks, prompts and settings differ, so they are not normalised.

Best AI for each kind of coding

  • Games: Claude Opus 5.5 (4), Gemini 4 Argon (2), GPT-6.1 Sol (2) — picks across 14 of 62 posts that name a winner.
  • Web/UI: Claude Opus 4.1 (1), Claude Opus 5.5 (1), Kimi K3 (1) — picks across 3 of 22 posts that name a winner.
  • 3D & Shaders: Claude Opus 5.5 (36), DeepSeek V4.1 Flash 1017 (6), Claude Sonnet 5.5 (3) — picks across 60 of 202 posts that name a winner.
  • Simulations: Claude Opus 5.5 (12), Claude Sonnet 5.5 (2), DeepSeek V4.1 Flash 1017 (2) — picks across 20 of 44 posts that name a winner.
  • Animations/SVG: Claude Opus 5.5 (7), DeepSeek V4.1 Flash 1017 (5), Claude Fable 5.5 (2) — picks across 17 of 50 posts that name a winner.

How this ranking works

Every row is computed from the posts in the archive: a model is credited when the post’s author says its result was the better one. Posts where every model “won”, solo runs and harness tests that ran one model on both sides are left out of the tally. Read the posts themselves before you choose — thematchup pages show every side-by-side video, and the model pages list every post per model. Updated with each collection run; last data change 2026-10-19.