Modele generowania wideo AI w porównaniu: rankingi aren, prawdziwe testy i ceny (lipiec 2026)

Krótka odpowiedź

If you only read one paragraph: the September 2026 arenas have a new top tier. Wan 3.0 (#2 text-to-video) and MiniMax H3 (#3 text-to-video, #1 image-to-video) both arrived since our July snapshot and both are live on our platform — but they are new, with only a handful of production runs behind them, so we still route "keeper" clips to Seedance 2.0, now #5 on both boards and still the strongest multi-shot model in our lineup. Grok Imagine 1.5 is the value pick for animating a photo (#8 on the image-to-video arena at a fraction of anyone else's price). HappyHorse 1.1 is the one to use when your clip needs to talk — native audio and lip-sync, #8 t2v / #7 i2v. And Veo 3.1 remains the cinematic splurge. Everything below is the evidence.

Rankings snapshot: September 21, 2026, from the Artificial Analysis text-to-video and image-to-video arenas (blind user-vote Elo). Artificial Analysis rebased its Elo scale between our July and September snapshots, so the absolute numbers on this page are not comparable to the July ones — only the order is. We re-check the arenas monthly and update this page when the order changes.

Jak rankujemy: głosy z aren + własne testy

Większość list „najlepszych generatorów wideo AI" to wrażenia jednego autora z kilku klipów demo. Chcieliśmy czegoś, z czym można polemizować, więc ta strona łączy dwa twardsze źródła prawdy.

• Rankingi aren — Artificial Analysis prowadzi publiczne areny, na których tysiące osób głosuje w ciemno między dwiema generacjami tego samego promptu. Wynikiem jest tabela Elo dla każdego zadania (tekst-na-wideo, obraz-na-wideo). To najbliższa obiektywnemu rankingowi jakości rzecz, jaką ma branża — i te same dane, których używamy do kierowania rekomendacjami modeli w naszym produkcie.
• Nasze własne generacje — każdy z tych modeli uruchamiamy produkcyjnie w CreateVision AI. Dla progu budżetowego opublikowaliśmy pełny pojedynek na identycznych promptach: 16 prawdziwych, osadzonych filmów wyjściowych i zmierzone czasy zegarowe; kilka z tych klipów jest osadzonych poniżej, bez retuszu.
• Prawdziwe ceny — każda kwota na tej stronie to aktualna stawka kredytów za sekundę, którą naprawdę zapłacisz dziś na naszej platformie, a nie marketingowa cena „od".

Jedno uczciwe zastrzeżenie: sprzedajemy dostęp do tych modeli — do wszystkich. Nie mamy żadnej motywacji, by faworyzować któryś z nich — jeśli model wygrywa arenę, wygrywa tę stronę.

Pełny krajobraz (jedna tabela)

Twelve models cover essentially every real use case in September 2026. Arena standing is from Artificial Analysis; credits are our live per-second rates (a typical clip is 6–10 seconds, so multiply accordingly).

Rates are per second of 720p output; higher resolutions cost more on some models. Kling 3.0 Motion Control (825/s) and OmniHuman 1.5 (450/s) are specialist tools covered in their own section below.

Modele tekst-na-wideo

Text-to-video is the hardest task in generative AI right now: the model has to invent subject, motion, camera and lighting from words alone. The arena order shifted hard between July and September: two models that were not on the July board now sit above the July leader.

Wan 3.0 and MiniMax H3 — the two arrivals since July (#2 and #3)

Alibaba's Wan 3.0 is #2 on the text-to-video arena (Elo 1229, two points behind Google's Gemini Omni Flash, which we do not host) and #6 on image-to-video (1164). Its headline feature is length: up to 30-second takes in one generation, with native audio and multimodal references, from 40 credits/sec at 480p (80/s at 720p, 160/s at 1080p). MiniMax H3 (Hailuo 3) is #3 on text-to-video (Elo 1227) and #1 on image-to-video (1195) — the best model on the arena for animating a photo — at 55 credits/sec for 768p and 90/s for 2K, with native audio. Both are live on CreateVision AI. Both are also new to our production stack with only a handful of runs behind them, so for now we treat them as "reach for it when the brief needs 30 seconds or the very best photo animation" rather than the default; we will move our keeper-clip routing once we have reliability data.

Seedance 2.0 — the July leader, now #5 (Elo 1210)

ByteDance's Seedance 2.0 led the text-to-video arena in July; on the September board it sits #5 (Elo 1210), within 20 points of the new leaders. In our production experience its edge is still multi-shot coherence: it can hold a subject through 2–3 hard cuts inside one 10-second clip, which nothing else at this price does — and until the two newcomers above have a reliability track record, it remains where we route final clips. At 50 credits/sec it is also reasonably priced for a flagship. The Fast variant (35/s) trades some polish for speed, and Mini (15/s) is the drafting tier we route free-form experiments to.

Wan 2.7 — identity lock, now #10 (Elo 1098)

Alibaba's Wan 2.7 was the surprise #2 of the July board; on the rebased September scale the June build sits #7 (Elo 1149) and the current build #10 (1098), overtaken mostly by its own successor. Its signature trick is unchanged — reference identity lock: feed it up to 5 reference images and it keeps the same face across a 15-second multi-shot story, with native audio included. At 40 credits/sec it still undercuts most of the table, and it is the proven choice while Wan 3.0 is new.

Kling 3.0 — motion quality specialist (#12, Elo 1095)

Kuaishou's Kling 3.0 (1080p Pro tier) sits #12 on the text-to-video arena (the 720p tier is #13) but earns its place on motion: fast action, dance, sports and physical contact look more natural than on most rivals. It is per-second priced with optional sound, and the Turbo variant (55/s, silent) is the sensible default for action drafts. In our four-round budget shootout, Kling 3.0 Turbo was also the fastest generator on average.

Veo 3.1 — the cinematic option (#14, Elo 1088)

Google's Veo 3.1 sits mid-table on the arena (#14, with Veo 3.1 Fast at #15) but that undersells what it is for: film-grade lighting, lens language and dialogue-with-audio in one pass. It is the model we route explicit "cinematic / film-grade" briefs to — and at 300 credits/sec (Fast) to 640/s (Pro), it is priced like the specialist it is. Clips are capped at 4/6/8 seconds.

Also on the arena: Google's Gemini Omni Flash holds #1 (Elo 1233) but is not available on our platform, so it is absent from the tables; HappyHorse 1.1 sits #8 (1147) and is covered in the audio section; SkyReels V4 (#11, 1095) and Vidu Q3 Pro (#19, 1078) sit mid-table; Sora 2 is #17 (1083); and Seedance 1.5 Pro (#29, Elo 1000), last year's audio flagship, is now outclassed by HappyHorse 1.1 on both rank and price.

Prawdziwe generacje z naszego pojedynku budżetowego na identycznych promptach (wyniki bez retuszu)

Modele obraz-na-wideo

Image-to-video — animating a photo or a generated still — is where the arena order diverges sharply from marketing budgets. MiniMax H3 leads (#1, Elo 1195), with Gemini Omni Flash at #3, Seedance 2.0 at #5 and Wan 3.0 at #6 — but the best value on the board belongs to a model most lists ignore entirely.

Grok Imagine 1.5 — #8 on the arena at 5 credits/sec (Elo 1099)

xAI's Grok Imagine 1.5 is the single best value in AI video, full stop. It ranks #8 on the image-to-video arena — still above Veo 3.1 (#11), above every Kling tier (#19–20) — while costing 5 credits per second: a 10-second clip for 50 credits, when the same clip costs 500 on Seedance 2.0. It requires a source image (there is no text-to-video mode), keeps identity locked, and ships native audio. In our own image-to-video identity test it produced the fastest generation of the round (78s) with the source face intact. If you are animating photos and not paying attention to Grok, you are overpaying by an order of magnitude.

Seedance 2.0 — #5, still our keeper-clip default (Elo 1174)

No longer the arena leader, but still the safest pick for reference-driven final renders: strongest subject preservation across beats, reliable two-person interaction, and the same multi-shot coherence as its t2v side. When a clip is a keeper — a couple video, a product hero — this is where we route it, until MiniMax H3 (#1, Elo 1195) and Wan 3.0 (#6, 1164) have enough production runs behind them to earn that slot.

HappyHorse 1.1 (#7, Elo 1106) and Wan 2.7 (#12, Elo 1078) sit just behind — both are covered in the audio section below, because that is where they truly differentiate.

Hailuo 02 (MiniMax) deserves a note despite sitting outside the arena top tier: it is priced per whole clip, not per second (6s or 10s, fixed), which makes it the most predictable line item on this page — and its physics-driven motion is genuinely natural. Our budget shootout rated it the best value for clean single-shot clips.

Prawdziwe generacje z naszego pojedynku budżetowego na identycznych promptach (wyniki bez retuszu)

Modele audio i synchronizacji ust

Most video models generate silent clips. Three proven ones generate sound natively — the September newcomers Wan 3.0 and MiniMax H3 do too, with the few-runs caveat above — and one of them is the reason we stopped recommending last year's audio flagship.

HappyHorse 1.1 — the audio default (#8 t2v · #7 i2v)

HappyHorse 1.1 generates speech, ambience and lip-sync in the same pass as the visuals, across 6 languages, at 65 credits/sec with 1080p support. It ranks #8 on the text-to-video arena and #7 on image-to-video — no longer top-3 after the September rebase, but still the model whose lip-sync we trust most. Talking characters, voiceover product clips, dialogue scenes: this is the default. It replaced Seedance 1.5 Pro (Elo 1000, 70/s) as our audio recommendation the day we checked the July arena — better ranked, cheaper, more capable — and the September re-rank did not change that call.

Wan 2.7 — audio plus identity lock

Wan 2.7 also ships native audio, and combines it with the 5-reference identity lock and 15-second multi-shot ceiling. For a narrated story where the same character must persist shot-to-shot, it is the more structural choice; for pure talking-head realism, HappyHorse's lip-sync is tighter.

Veo 3.1 (Fast and Pro) generates dialogue with audio too — at cinematic quality and cinematic prices. Use it when the brief says "film", not when it says "talk".

Modele specjalistyczne: motion control i mówiące awatary

Dwa modele rozwiązują problemy, z którymi tabela ogólnego zastosowania sobie nie poradzi.

Kling 3.0 Motion Control — przenieś ruch z wideo referencyjnego

Podaj mu wideo referencyjne plus obraz postaci, a przeniesie ruch — kroki taneczne, choreografię kamery, ustawienie walki — na Twoją postać (3–30 sekund, 825 kredytów/sek). To jedyny produkcyjny model transferu ruchu, jaki testowaliśmy, i jest odpowiednio wyceniony. Używaj go, gdy ruch JEST briefem.

OmniHuman 1.5 — zdjęcie + audio → mówiący człowiek

OmniHuman 1.5 od ByteDance zamienia jedno zdjęcie plus ścieżkę audio (lub tekst na mowę) w wideo mówiącego, gestykulującego człowieka — to silnik naszego workflow AI Avatar, z biblioteką 60 głosów w 10 językach. To inna kategoria niż wideo sterowane promptem: deterministyczne wejście, wynik w stylu prezentera, 450 kredytów/sek.

Wybory budżetowe

Jeśli Twoje pytanie brzmi po prostu „jaki jest najtańszy sposób na przyzwoity klip", napisaliśmy o tym osobny, dogłębny materiał: przepuściliśmy Grok Imagine 1.5, Seedance 2.0 Mini, Kling 3.0 Turbo i Hailuo 02 przez identyczne prompty — 16 prawdziwych generacji, zmierzone czasy, osadzone wyniki i wpadki.

Przeczytaj pełny pojedynek budżetowy: Najlepsze tanie generatory wideo AI 2026 →

Podsumowanie w jednym zdaniu: Grok Imagine 1.5 wygrywa, jeśli masz obraz źródłowy; Seedance 2.0 Mini (15/s) wygrywa w czystych szkicach tekst-na-wideo; Hailuo 02 wygrywa, gdy chcesz stałej ceny za klip; Kling 3.0 Turbo wygrywa, gdy tempo generacji liczy się bardziej niż cokolwiek innego.

Jak wybrać (i jak pominąć wybieranie)

The honest answer to "which model should I use" is: it depends on the brief, and it changes monthly. This is the routing table we actually use in production:

Or skip the table entirely: our Ava agent applies exactly this routing automatically — describe the clip in plain language, and she picks the arena-ranked model, writes the timed storyboard prompt, and shows you the credit cost before anything generates.

Najczęstsze pytania