Modèles de génération de vidéo IA comparés : classements d'arène, tests réels et prix (juillet 2026)

La réponse courte

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.

Notre méthode de classement : votes d'arène + nos propres tests

La plupart des listes de « meilleur générateur de vidéo IA » ne sont que les impressions d'un rédacteur sur quelques clips de démo. Nous voulions quelque chose de discutable sur pièces, alors cette page croise deux sources de vérité plus exigeantes.

• Les classements d'arène — Artificial Analysis gère des arènes publiques où des milliers de personnes votent à l'aveugle entre deux générations du même prompt. Le résultat est un classement Elo par tâche (text-to-video, image-to-video). C'est ce que l'industrie a de plus proche d'un classement de qualité objectif, et ce sont les mêmes données que nous utilisons pour router les recommandations de modèles dans notre produit.
• Nos propres générations — nous faisons tourner chacun de ces modèles en production chez CreateVision AI. Pour le palier budget, nous avons publié un comparatif complet à prompts identiques avec 16 vraies vidéos intégrées et des vitesses chronométrées ; plusieurs de ces clips sont intégrés plus bas, sans retouche.
• De vrais prix — chaque coût affiché sur cette page est le tarif en crédits par seconde que vous paieriez réellement sur notre plateforme aujourd'hui, pas un prix marketing « à partir de ».

Une précision honnête : nous vendons l'accès à ces modèles, à tous. Nous n'avons aucun intérêt à en favoriser un plutôt qu'un autre — si un modèle gagne l'arène, il gagne cette page.

Le paysage complet (un seul tableau)

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.

Modèles text-to-video

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.

Générations réelles issues de notre comparatif budget à prompts identiques (sorties non retouchées)

Modèles image-to-video

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.

Générations réelles issues de notre comparatif budget à prompts identiques (sorties non retouchées)

Modèles audio et lip-sync

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".

Modèles spécialisés : contrôle de mouvement et avatars parlants

Deux modèles résolvent des problèmes que le tableau généraliste ne peut pas traiter.

Kling 3.0 Motion Control — transférer le mouvement d'une vidéo de référence

Donnez-lui une vidéo de référence plus une image de personnage et il transfère le mouvement — pas de danse, chorégraphie de caméra, réglage de combat — sur votre personnage (3–30 secondes, 825 crédits/s). C'est le seul modèle de transfert de mouvement de qualité production que nous ayons testé, et il est tarifé en conséquence. Utilisez-le quand le mouvement EST le brief.

OmniHuman 1.5 — photo + audio → humain qui parle

L'OmniHuman 1.5 de ByteDance transforme une photo plus une piste audio (ou une synthèse vocale) en vidéo d'un humain qui parle et gesticule — le moteur de notre workflow AI Avatar, avec une bibliothèque de 60 voix en 10 langues. C'est une catégorie différente de la vidéo pilotée par prompt : entrée déterministe, rendu façon présentateur, 450 crédits/s.

Les choix petit budget

Si votre question est simplement « quel est le moyen le moins cher d'obtenir un clip correct », nous avons écrit un dossier dédié : nous avons passé Grok Imagine 1.5, Seedance 2.0 Mini, Kling 3.0 Turbo et Hailuo 02 sur des prompts identiques — 16 générations réelles, vitesses mesurées, sorties intégrées et cas d'échec.

Lisez le comparatif budget complet : Meilleurs générateurs de vidéo IA pas chers 2026 →

Le résumé en une ligne : Grok Imagine 1.5 gagne si vous avez une image de départ ; Seedance 2.0 Mini (15/s) gagne pour les brouillons purs en text-to-video ; Hailuo 02 gagne quand vous voulez un prix fixe par clip ; Kling 3.0 Turbo gagne quand la vitesse de génération prime sur tout le reste.

Comment choisir (et comment éviter de choisir)

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.

Questions fréquentes