Leaderboard · Nov 2025 – Nov 2026
Best AI models for coding, ranked by developers on Hacker News
The main table covers tools with at least 100 opinions. Less-discussed models are listed separately, because a high score from a few dozen people is a weaker signal.
Widely discussed models
| # | Model | Approval | Last 90 days | Opinions |
|---|---|---|---|---|
| 1 | DeepSeek V4 Flash | 83% | 80% | 151 |
| 2 | Claude Opus 4.5 | 78% | 90% | 322 |
| 3 | Claude Opus 5.5 | 75% | 75% | 186 |
| 4 | GLM 5.2 | 75% | 82% | 142 |
| 5 | DeepSeek V4 Pro | 75% | 67% | 121 |
| 6 | GPT-5.4 | 72% | – | 114 |
| 7 | GPT-5.5 | 69% | 67% | 236 |
| 8 | GPT-5.6 Sol | 67% | 66% | 247 |
| 9 | Claude Opus 4.6 | 63% | 63% | 287 |
| 10 | Claude Fable 5 | 57% | 48% | 188 |
| 11 | Claude Opus 4.8 | 49% | 57% | 134 |
| 12 | Claude Opus 4.7 | 42% | – | 145 |
| 13 | Claude Opus 5 | 33% | 30% | 162 |
Less-discussed models
Fewer than 100 opinions each. Promising, but treat the scores as early.
| # | Model | Approval | Last 90 days | Opinions |
|---|---|---|---|---|
| 14 | GLM 5.3 | 85% | 85% | 67 |
| 15 | Qwen 3 Coder | 87% | – | 39 |
| 16 | Gemini 3 Flash | 85% | – | 31 |
| 17 | DeepSeek V4.1 Flash | 80% | 80% | 60 |
| 18 | GLM 5.1 | 78% | – | 67 |
| 19 | Qwen 3.6 | 76% | 71% | 94 |
| 20 | Qwen 3.6 27B | 76% | 56% | 76 |
| 21 | DeepSeek V4 | 78% | 72% | 48 |
| 22 | Kimi K3 | 73% | 74% | 94 |
| 23 | GLM 5 | 78% | – | 30 |
| 24 | GPT-5.3 Codex | 74% | – | 54 |
| 25 | Kimi K2.5 | 74% | – | 41 |
| 26 | GPT-5.6 | 76% | 75% | 33 |
| 27 | Qwen 3 Coder Next | 72% | – | 48 |
| 28 | Qwen 3.8 27B | 69% | 69% | 70 |
| 29 | GLM 5.3 Flash | 71% | 71% | 42 |
| 30 | GPT-5.2 | 68% | – | 82 |
| 31 | Qwen 3.6 35B A3B | 70% | 56% | 40 |
| 32 | Kimi K2.6 | 70% | – | 38 |
| 33 | Claude Fable 5.1 | 69% | 69% | 35 |
| 34 | Claude Sonnet 4.6 | 65% | – | 65 |
| 35 | Gemma 4 | 62% | – | 68 |
| 36 | Claude Sonnet 4.5 | 57% | – | 97 |
| 37 | Qwen 3.5 | 61% | – | 41 |
| 38 | Claude Sonnet 5 | 61% | 41% | 38 |
| 39 | GPT-5 | 57% | – | 62 |
| 40 | Gemini 3 | 56% | – | 70 |
| 41 | GLM 4.7 | 56% | – | 43 |
| 42 | Gemini 3.1 Pro | 54% | – | 36 |
| 43 | Gemini 3 Pro | 52% | – | 42 |
| 44 | GPT-6 Astra | 51% | 51% | 48 |
| 45 | Qwen 3.8 | 50% | 50% | 53 |