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.

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Generation
Kind

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
ReleaseLovedRecommendWarnPeopleNewest from
MiMo Pro 2.595%181312026-04-28 to 2026-09-21
DeepSeek V4 Flash94%13392222026-04-23 to 2026-09-10
DeepSeek V4 Flash 4.193%6451112026-09-10 to now
Kimi 290%192392025-11-06 to 2026-01-27
GPT Luna 5.689%253412026-07-10 to 2026-09-22
GLM 5.289%7391552026-06-14 to 2026-08-14
GLM 589%162252026-02-11 to 2026-03-31
GLM 5.189%486682026-03-31 to 2026-06-14
Cursor Composer 2.588%233352026-05-19 to now
Qwen 3.887%114172232026-07-20 to now
DeepSeek V4 Pro87%77121512026-04-23 to now
DeepSeek 486%498992026-04-23 to 2026-09-16
Qwen 3.585%356692026-02-16 to 2026-04-02
GLM Flash 5.385%407732026-08-26 to now
Qwen 385%4581002025-11-02 to 2026-02-16
GPT Sol 6.185%224452026-09-29 to now
GPT-5.684%326872026-07-09 to now
GLM 4.783%194342025-12-22 to 2026-02-11
Kimi 2.683%194412026-04-20 to 2026-06-12
Claude Opus 4.582%121262072025-11-24 to 2026-02-05
Kimi 2.582%327612026-01-27 to 2026-04-20
GLM 5.382%4510922026-08-14 to now
Claude Opus 5.581%106252022026-09-22 to now
Gemma 481%114272442026-04-02 to now
Qwen 3.680%4912882026-04-02 to 2026-05-21
Gemini Flash 2.579%113202025-11-20 to 2026-05-19
Claude Sonnet 5.578%72232026-09-28 to now
Kimi 378%52151612026-07-16 to 2026-10-23
Claude Sonnet 4.577%247582025-11-03 to 2026-02-17
Gemini Flash 3.877%247432026-09-02 to now
Gemini Flash 3.777%103202026-08-13 to 2026-09-02
GPT-5-Codex 5.376%196452026-02-05 to 2026-07-04
Gemini 4 Argon76%196382026-09-30 to now
GPT Astra 675%279782026-09-03 to now
GPT-5.574%81282262026-04-23 to 2026-07-09
GPT Sol 5.673%60221582026-07-07 to 2026-09-22
Grok 4.571%125282026-07-08 to 2026-08-12
Kimi 2.770%73202026-06-12 to 2026-07-16
GPT Luna 670%146282026-09-22 to now
Kimi 3.169%94222026-10-23 to now
Gemini Pro 3.166%2915752026-02-19 to now
Claude Haiku 4.564%74222025-11-10 to 2026-10-07
Claude Opus 4.863%45261402026-05-28 to 2026-07-24
GPT-5.462%2616812026-03-05 to 2026-04-23
Gemini Pro 362%2918822025-11-18 to 2026-02-19
Claude Fable 5.162%2415702026-09-01 to now
Claude Sonnet 559%2014532026-06-30 to 2026-09-28
GPT-5.258%42301212025-12-11 to 2026-03-03
Claude Opus 4.657%73562152026-02-05 to 2026-04-16
Claude Fable 556%63501732026-06-09 to 2026-09-01
Claude Sonnet 4.655%2218722026-02-17 to 2026-06-30
Gemini Flash 3.550%1010372026-05-19 to 2026-07-21
GPT-5.145%56212025-11-13 to 2025-12-11
Mistral Large 443%912372026-10-06 to now
GPT-542%811292025-11-02 to 2025-11-13
Claude Opus 542%45631772026-07-24 to 2026-09-22
Claude Opus 4.736%27471252026-04-16 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

Sort by
FamilyRecommendSentimentLatest releasePraised forTop caveat
Claude2,26634% · 20% of 5,251Claude Opus 5.581% loved, 202 people · ▲ +39 vs Claude Opus 5Coding quality, Building toolsSafety flags
GPT63335% · 17% of 1,437GPT Sol 6.185% loved, 45 people · ▲ +25 vs GPT Sol 6Cost efficiency, CodingUnreliable output
Gemini62733% · 25% of 1,601Gemini 4 Argon76% loved, 38 peopleFlash models, Everyday chatAccuracy
Qwen53647% · 9% of 951Qwen 3.887% loved, 223 people · ▲ +1 vs Qwen 3.7Local speed, Coding qualityOverthinking loops
DeepSeek48749% · 10% of 878DeepSeek V4 Flash 4.193% loved, 111 people · ▼ -1 vs DeepSeek V4 FlashLow cost, Good enough qualityInsecure code
ChatGPT40924% · 29% of 1,511no release with 10+ peopleCoding help, Everyday assistantAnswer quality
GLM34751% · 9% of 580GLM 5.382% loved, 92 people · ▼ -7 vs GLM 5.2Low cost, Good enoughVerbal tics
Kimi22141% · 12% of 471Kimi 3.169% loved, 22 people · ▼ -9 vs Kimi 3Cost efficiency, Near-frontier abilityUsage costs
Gemma16546% · 10% of 325Gemma 481% loved, 244 people · ▼ -19 vs Gemma 3Modest hardware, WritingCoding quality
Grok13226% · 36% of 439no release with 10+ peopleCoding help, ResearchData handling
Mistral9135% · 21% of 225Mistral Large 443% loved, 37 peopleLow cost, Local runningCompetitiveness
Jev6241% · 16% of 147no release with 10+ peopleCost and speed, AccuracySpecialized models win
NVIDIA Parakeet6257% · 7% of 101NVIDIA Parakeet 389% loved, 27 peopleSpeed, Daily dictationMultilingual accuracy
MiniMax5547% · 13% of 107MiniMax 391% loved, 19 people · ▲ +6 vs MiniMax 2.7Cheap token plans, Agent utility rolesSlow locally
Nano Banana5543% · 14% of 115Nano Banana 275% loved, 11 peopleImage editing, Space visualizationOutput errors
gpt-oss5447% · 6% of 106no release with 10+ peopleRuns locally, Speed20B mistakes
MiMo5147% · 11% of 90MiMo Pro 2.670% loved, 11 people · ▼ -25 vs MiMo Pro 2.5Low cost, Coding and specsOverthinking
Muse4743% · 16% of 97Muse Spark 1.383% loved, 11 peopleErrand automation, Ongoing monitoringPrivacy
Whisper4335% · 7% of 123no release with 10+ peopleRuns locally, Transcription qualityOutdated
Cursor Composer4162% · 18% of 65Cursor Composer 2.588% loved, 35 people · ▼ -12 vs Cursor Composer 2Speed, Low costComplex 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.

FamilyCodingAgentsRunning locallyWritingResearch and searchImages and videoSpeech and audioEveryday chat
Claude
GPT·
Gemini
Qwen
DeepSeek·
ChatGPT·
GLM··
Kimi··
Gemma
Grok·
Mistral·
Jev·······
NVIDIA Parakeet······
MiniMax····

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.

Who's switching

  1. Claude → GPT14 went back the other way
  2. Claude → DeepSeek0 went back the other way
  3. Claude → GLM1 went back the other way
  4. ChatGPT → Claude11 went back the other way
  5. ChatGPT → Gemini7 went back the other way
  6. GPT → Claude47 went back the other way
  7. Claude → ChatGPT23 went back the other way
  8. Claude → Kimi0 went back the other way
  9. Claude → Gemini6 went back the other way
  10. Gemini → ChatGPT20 went back the other way
  11. Claude → Qwen0 went back the other way
  12. Gemini → Claude10 went back the other way
  13. GLM → DeepSeek4 went back the other way
  14. Claude → Grok2 went back the other way
  15. Qwen → Gemma2 went back the other way
  16. DeepSeek → GLM5 went back the other way
  17. Kimi → GLM2 went back the other way
  18. GPT → DeepSeek2 went back the other way
  19. ChatGPT → DeepSeek0 went back the other way
  20. 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.

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