AI models compared
What HN commenters said about each model family from Nov 2025 to Oct 2026. Each person counts once per family. Open any number to read the comments behind it.
Which are loved
Love score is the share of people with an opinion who recommend it: recommend ÷ (recommend + warn). A generation is models released around the same time, and only comments from while each release was the newest in its line count.
Ranked within a generation
Love map up is more loved, right is more people talking about it
Did each new version get better? oldest to newest, left to right; ignores the generation filter
All the numbers
| Release | Loved | Recommend | Warn | People | Newest from |
|---|---|---|---|---|---|
| MiMo Pro 2.5 | 95% | 18 | 1 | 31 | 2026-04-28 to 2026-09-21 |
| DeepSeek V4 Flash | 94% | 133 | 9 | 222 | 2026-04-23 to 2026-09-10 |
| DeepSeek V4 Flash 4.1 | 93% | 64 | 5 | 111 | 2026-09-10 to now |
| Kimi 2 | 90% | 19 | 2 | 39 | 2025-11-06 to 2026-01-27 |
| GPT Luna 5.6 | 89% | 25 | 3 | 41 | 2026-07-10 to 2026-09-22 |
| GLM 5.2 | 89% | 73 | 9 | 155 | 2026-06-14 to 2026-08-14 |
| GLM 5 | 89% | 16 | 2 | 25 | 2026-02-11 to 2026-03-31 |
| GLM 5.1 | 89% | 48 | 6 | 68 | 2026-03-31 to 2026-06-14 |
| Cursor Composer 2.5 | 88% | 23 | 3 | 35 | 2026-05-19 to now |
| Qwen 3.8 | 87% | 114 | 17 | 223 | 2026-07-20 to now |
| DeepSeek V4 Pro | 87% | 77 | 12 | 151 | 2026-04-23 to now |
| DeepSeek 4 | 86% | 49 | 8 | 99 | 2026-04-23 to 2026-09-16 |
| Qwen 3.5 | 85% | 35 | 6 | 69 | 2026-02-16 to 2026-04-02 |
| GLM Flash 5.3 | 85% | 40 | 7 | 73 | 2026-08-26 to now |
| Qwen 3 | 85% | 45 | 8 | 100 | 2025-11-02 to 2026-02-16 |
| GPT Sol 6.1 | 85% | 22 | 4 | 45 | 2026-09-29 to now |
| GPT-5.6 | 84% | 32 | 6 | 87 | 2026-07-09 to now |
| GLM 4.7 | 83% | 19 | 4 | 34 | 2025-12-22 to 2026-02-11 |
| Kimi 2.6 | 83% | 19 | 4 | 41 | 2026-04-20 to 2026-06-12 |
| Claude Opus 4.5 | 82% | 121 | 26 | 207 | 2025-11-24 to 2026-02-05 |
| Kimi 2.5 | 82% | 32 | 7 | 61 | 2026-01-27 to 2026-04-20 |
| GLM 5.3 | 82% | 45 | 10 | 92 | 2026-08-14 to now |
| Claude Opus 5.5 | 81% | 106 | 25 | 202 | 2026-09-22 to now |
| Gemma 4 | 81% | 114 | 27 | 244 | 2026-04-02 to now |
| Qwen 3.6 | 80% | 49 | 12 | 88 | 2026-04-02 to 2026-05-21 |
| Gemini Flash 2.5 | 79% | 11 | 3 | 20 | 2025-11-20 to 2026-05-19 |
| Claude Sonnet 5.5 | 78% | 7 | 2 | 23 | 2026-09-28 to now |
| Kimi 3 | 78% | 52 | 15 | 161 | 2026-07-16 to 2026-10-23 |
| Claude Sonnet 4.5 | 77% | 24 | 7 | 58 | 2025-11-03 to 2026-02-17 |
| Gemini Flash 3.8 | 77% | 24 | 7 | 43 | 2026-09-02 to now |
| Gemini Flash 3.7 | 77% | 10 | 3 | 20 | 2026-08-13 to 2026-09-02 |
| GPT-5-Codex 5.3 | 76% | 19 | 6 | 45 | 2026-02-05 to 2026-07-04 |
| Gemini 4 Argon | 76% | 19 | 6 | 38 | 2026-09-30 to now |
| GPT Astra 6 | 75% | 27 | 9 | 78 | 2026-09-03 to now |
| GPT-5.5 | 74% | 81 | 28 | 226 | 2026-04-23 to 2026-07-09 |
| GPT Sol 5.6 | 73% | 60 | 22 | 158 | 2026-07-07 to 2026-09-22 |
| Grok 4.5 | 71% | 12 | 5 | 28 | 2026-07-08 to 2026-08-12 |
| Kimi 2.7 | 70% | 7 | 3 | 20 | 2026-06-12 to 2026-07-16 |
| GPT Luna 6 | 70% | 14 | 6 | 28 | 2026-09-22 to now |
| Kimi 3.1 | 69% | 9 | 4 | 22 | 2026-10-23 to now |
| Gemini Pro 3.1 | 66% | 29 | 15 | 75 | 2026-02-19 to now |
| Claude Haiku 4.5 | 64% | 7 | 4 | 22 | 2025-11-10 to 2026-10-07 |
| Claude Opus 4.8 | 63% | 45 | 26 | 140 | 2026-05-28 to 2026-07-24 |
| GPT-5.4 | 62% | 26 | 16 | 81 | 2026-03-05 to 2026-04-23 |
| Gemini Pro 3 | 62% | 29 | 18 | 82 | 2025-11-18 to 2026-02-19 |
| Claude Fable 5.1 | 62% | 24 | 15 | 70 | 2026-09-01 to now |
| Claude Sonnet 5 | 59% | 20 | 14 | 53 | 2026-06-30 to 2026-09-28 |
| GPT-5.2 | 58% | 42 | 30 | 121 | 2025-12-11 to 2026-03-03 |
| Claude Opus 4.6 | 57% | 73 | 56 | 215 | 2026-02-05 to 2026-04-16 |
| Claude Fable 5 | 56% | 63 | 50 | 173 | 2026-06-09 to 2026-09-01 |
| Claude Sonnet 4.6 | 55% | 22 | 18 | 72 | 2026-02-17 to 2026-06-30 |
| Gemini Flash 3.5 | 50% | 10 | 10 | 37 | 2026-05-19 to 2026-07-21 |
| GPT-5.1 | 45% | 5 | 6 | 21 | 2025-11-13 to 2025-12-11 |
| Mistral Large 4 | 43% | 9 | 12 | 37 | 2026-10-06 to now |
| GPT-5 | 42% | 8 | 11 | 29 | 2025-11-02 to 2025-11-13 |
| Claude Opus 5 | 42% | 45 | 63 | 177 | 2026-07-24 to 2026-09-22 |
| Claude Opus 4.7 | 36% | 27 | 47 | 125 | 2026-04-16 to 2026-05-28 |
The dashed line marks a typical release, about 75%. Releases with fewer than 20 people in their time are left out, and so are speech models and rows that mix several model lines. A release's time starts at its third mention and ends when the next release in its line appears. The data starts in November 2025, so older releases are cut off there. New releases have had less time and may still be in their honeymoon. Numbers here can differ from model pages, which count all comments ever. Open weights: Qwen, Kimi, GLM, DeepSeek, Gemma, MiMo, Mistral, gpt-oss, Llama and others. Fast tier: Haiku, Flash, Luna, Composer.
All families
| Family | Recommend | Sentiment | Latest release | Praised for | Top caveat |
|---|---|---|---|---|---|
| 2,266 | 34% · 20% of 5,251 | Claude Opus 5.581% loved, 202 people · ▲ +39 vs Claude Opus 5 | Coding quality, Building tools | Safety flags | |
| 633 | 35% · 17% of 1,437 | GPT Sol 6.185% loved, 45 people · ▲ +25 vs GPT Sol 6 | Cost efficiency, Coding | Unreliable output | |
| 627 | 33% · 25% of 1,601 | Gemini 4 Argon76% loved, 38 people | Flash models, Everyday chat | Accuracy | |
| 536 | 47% · 9% of 951 | Qwen 3.887% loved, 223 people · ▲ +1 vs Qwen 3.7 | Local speed, Coding quality | Overthinking loops | |
| 487 | 49% · 10% of 878 | DeepSeek V4 Flash 4.193% loved, 111 people · ▼ -1 vs DeepSeek V4 Flash | Low cost, Good enough quality | Insecure code | |
| 409 | 24% · 29% of 1,511 | no release with 10+ people | Coding help, Everyday assistant | Answer quality | |
| GLM | 347 | 51% · 9% of 580 | GLM 5.382% loved, 92 people · ▼ -7 vs GLM 5.2 | Low cost, Good enough | Verbal tics |
| Kimi | 221 | 41% · 12% of 471 | Kimi 3.169% loved, 22 people · ▼ -9 vs Kimi 3 | Cost efficiency, Near-frontier ability | Usage costs |
| 165 | 46% · 10% of 325 | Gemma 481% loved, 244 people · ▼ -19 vs Gemma 3 | Modest hardware, Writing | Coding quality | |
| 132 | 26% · 36% of 439 | no release with 10+ people | Coding help, Research | Data handling | |
| 91 | 35% · 21% of 225 | Mistral Large 443% loved, 37 people | Low cost, Local running | Competitiveness | |
| 62 | 41% · 16% of 147 | no release with 10+ people | Cost and speed, Accuracy | Specialized models win | |
| NVIDIA Parakeet | 62 | 57% · 7% of 101 | NVIDIA Parakeet 389% loved, 27 people | Speed, Daily dictation | Multilingual accuracy |
| 55 | 47% · 13% of 107 | MiniMax 391% loved, 19 people · ▲ +6 vs MiniMax 2.7 | Cheap token plans, Agent utility roles | Slow locally | |
| Nano Banana | 55 | 43% · 14% of 115 | Nano Banana 275% loved, 11 people | Image editing, Space visualization | Output errors |
| 54 | 47% · 6% of 106 | no release with 10+ people | Runs locally, Speed | 20B mistakes | |
| 51 | 47% · 11% of 90 | MiMo Pro 2.670% loved, 11 people · ▼ -25 vs MiMo Pro 2.5 | Low cost, Coding and specs | Overthinking | |
| 47 | 43% · 16% of 97 | Muse Spark 1.383% loved, 11 people | Errand automation, Ongoing monitoring | Privacy | |
| Whisper | 43 | 35% · 7% of 123 | no release with 10+ people | Runs locally, Transcription quality | Outdated |
| 41 | 62% · 18% of 65 | Cursor Composer 2.588% loved, 35 people · ▼ -12 vs Cursor Composer 2 | Speed, Low cost | Complex tasks |
Recommend counts anyone who recommended the family at least once. The bar uses each person's latest stance, so its % can be lower. "Loved" is recommend ÷ (recommend + warn) among people commenting while that release was the newest in its line, starting from its third mention. Model pages show all-time numbers for a version, so they can differ. Praise and caveats cover each of the top 11 families across all its tiers, and are written by a model from cited comments.
Best for
% of people recommending the model for that job, over the number of people who mentioned it for that job. Darker green means more recommend it. Open a cell to read comments.
| Family | Coding | Agents | Running locally | Writing | Research and search | Images and video | Speech and audio | Everyday chat |
|---|---|---|---|---|---|---|---|---|
| · | ||||||||
| · | ||||||||
| · | ||||||||
| GLM | · | · | ||||||
| Kimi | · | · | ||||||
| · | ||||||||
| · | ||||||||
| · | · | · | · | · | · | · | ||
| NVIDIA Parakeet | · | · | · | · | · | · | ||
| · | · | · | · |
The job comes from a keyword match on the use a comment states, plus the category label when it names a job (for example "AI image model"). About 4 in 10 mentions state a usable job, so these are samples of those comments, not of all users. One comment can count under several jobs. Cells with fewer than 5 people are hidden.
Head to head
| Claude | GPT | Gemini | Qwen | DeepSeek | ChatGPT | GLM | Kimi | |
|---|---|---|---|---|---|---|---|---|
| Claude | ||||||||
| GPT | ||||||||
| Gemini | ||||||||
| Qwen | ||||||||
| DeepSeek | ||||||||
| ChatGPT | ||||||||
| GLM | ||||||||
| Kimi |
Comments naming both families, or listing one as the alternative to the other.
- 91 favor Claude151 favor GPT
- 80 favor Claude64 favor Gemini
- 74 favor Claude34 favor ChatGPT
- 12 favor Claude87 favor DeepSeek
- 25 favor Claude89 favor GLM
- 53 favor Gemini27 favor ChatGPT
- 27 favor GPT34 favor Gemini
- 22 favor Claude61 favor Qwen
- 21 favor Claude56 favor Kimi
- 17 favor DeepSeek16 favor GLM
- 16 favor Qwen18 favor Gemma
- 17 favor GPT33 favor DeepSeek
A comment favors a model when it recommends that one and warns about or only compares the other, or says the person switched to it. Most comments show no clear preference, so the bars compare only the ones that do.
Who's switching
- Claude → GPT14 went back the other way
- Claude → DeepSeek0 went back the other way
- Claude → GLM1 went back the other way
- ChatGPT → Claude11 went back the other way
- ChatGPT → Gemini7 went back the other way
- GPT → Claude47 went back the other way
- Claude → ChatGPT23 went back the other way
- Claude → Kimi0 went back the other way
- Claude → Gemini6 went back the other way
- Gemini → ChatGPT20 went back the other way
- Claude → Qwen0 went back the other way
- Gemini → Claude10 went back the other way
- GLM → DeepSeek4 went back the other way
- Claude → Grok2 went back the other way
- Qwen → Gemma2 went back the other way
- DeepSeek → GLM5 went back the other way
- Kimi → GLM2 went back the other way
- GPT → DeepSeek2 went back the other way
- ChatGPT → DeepSeek0 went back the other way
- Kimi → DeepSeek1 went back the other way
People who said they moved from one family to another, 337 in all. It's a small sample of people who chose to say so.