AI Video Cost per Second in 2026: Measured Prices Across Models
Kling 4.0 costs 190 credits per second at 720p on Magnific against 440 for Seedance 2.5, while API invoices show $0.4622 per second. A dated cross-model audit.
OMNI LabsUpdated
Key takeaways
On Magnific simulator readings from 21 October 2026, Kling 4.0 costs 190 credits per second at 720p and 280 at 1080p.
Seedance 2.5 on Magnific costs 200 credits per second at 480p, 440 at 720p, and 790 at 1080p, making Kling 4.0 roughly 43% of its price.
Direct Higgsfield API invoicing bills Seedance 2.5 at $0.4622 per second at 720p and $0.2056 per second at 480p.
Video-to-video edits via Genjutsu charge ceil(seconds) at $0.318 per second for 480p, $0.681 for 720p, and $1.632 for 1080p.
Local inference on an RTX 5060 Ti eliminates credit costs entirely, rendering MiniMax H3 in 5m15s at 4 steps with a turbo LoRA.
The credit marketplace: Kling 4.0 versus Seedance 2.5
Magnific cost simulator, read 21 October 2026 (credits, not dollars): Kling 4.0 costs 190 credits per second at 720p and 280 at 1080p. Seedance 2.5 costs 200 per second at 480p, 440 at 720p and 790 at 1080p. Kling 3.0 costs 70 per second at 720p.
On that one platform Kling 4.0 costs 43% of Seedance 2.5 at 720p and 35% at 1080p. A 10-second 720p clip is 1,900 credits on Kling 4.0 and 4,400 on Seedance 2.5.
These measurements highlight dramatic pricing variance between competing foundation models on unified aggregation platforms. When scaling commercial production to multi-scene storyboards, selecting a model based on quality alone without auditing per-second credit consumption rapidly exhausts monthly allocations. Kling 4.0 delivers substantial credit savings on standard dialogue and cinematic motion, whereas Seedance 2.5 commands a steep premium for high-resolution 1080p generation.
Across multiple scenes, opting for Kling 4.0 over Seedance 2.5 at 720p reduces credit consumption by more than half. That gap represents substantial production runway that can be allocated toward additional coverage or alternate camera angles.
Invoice reality: direct API dollar rates
Measured generation rates across cloud video endpoints · measured 21 Oct 2026
Kling 2.5 at 1080p with start and end frames costs 325 credits on Magnific. Recorded from live account quotes.
Seedance 2.5 through the Higgsfield API, from our own invoices: $0.4622 per second at 720p and $0.2056 per second at 480p. A 22-second 720p segment costs about $10.17 and a 5-second 480p draft about $1.03.
The same model through fal cost $0.473 per second at 720p in our runs, so a 10-second 720p clip was $4.73 there against $4.62 on Higgsfield.
A 6-second 720p Kling 4.0 test clip cost us $0.47 through an API, about $0.08 per second. That is the only Kling 4.0 charge in our notes. Direct developer API endpoints provide predictable cost modeling, allowing producers to calculate exact per-episode budgets before queuing renders.
Comparing Higgsfield's $0.4622 per second with fal's $0.473 per second demonstrates how third-party cloud routing adds small fractional margins that scale across enterprise workloads. A 10-second clip difference of eleven cents appears negligible on a single probe, but across a multi-episode drama season encompassing hundreds of generated takes, direct API access preserves capital.
Genjutsu video-to-video edits on Higgsfield are billed on whole seconds: ceil(seconds) times $0.318 at 480p, $0.681 at 720p or $1.632 at 1080p. A 5-second 720p clip costs $3.41 and a 10-second one $6.81. A 5.04-second clip bills as 6 seconds.
Video-to-video restyling introduces specific accounting rules. Unlike diffusion pipelines that accept fractional durations, whole-second rounding means that an editor who leaves a four-hundredths of a second tail on an exported clip pays for an entire extra second.
At 1080p, that accidental fractional second costs an extra $1.632. Enforcing strict frame truncation in edit timelines prior to API dispatch is a necessary studio hygiene practice.
Google Flow and Firefly credit structures
Google Flow runs on a credit pool. Omni Flash costs 7 credits for 4 seconds, 10 for 6 seconds, about 13 for 8 seconds and 15 for 10 seconds, all read from the live panel quote. Veo 3.1 Fast costs a flat 20 credits and renders only 8 seconds.
Adobe Firefly per second, from our cost table of 25 July 2026: Kling 2.5 Turbo 15 credits, Firefly Video 20. Veo 3.1 Fast on Firefly costs 10 credits per second, so 4 seconds is 40 and 8 seconds is 80.
Credits from Magnific, Flow and Firefly are not dollars and we have not verified a conversion rate between them and the API prices, so the table keeps each unit separate. Treating proprietary platform credits as interchangeable leads to severe budgeting errors.
Platform credit models often obscure real operational costs behind proprietary unit denominations. Because each provider values a credit differently—15 credits on Flow versus 20 on Firefly—converting all internal studio bids to cost per finished usable second is essential for accurate project scoping.
Zero-dollar local video and render latency
Local MiniMax H3 and LTX 2.5 run on our own RTX 5060 Ti at zero credits. Their cost is wall-clock time: a 5-second 704x1280 H3 render took 31 minutes 47 seconds at 20 steps, and 5 minutes 15 seconds at 4 steps with the turbo LoRA.
Running open-weights video models locally provides absolute financial predictability. For rapid pre-visualization and exploratory blocking, generating scenes at zero marginal dollar cost protects studio cash flow. That financial benefit is balanced directly against hardware throughput.
Deploying distilled 4-step turbo LoRAs cuts inference latency down to 5m15s, making local generation practical for overnight batches and iterative rehearsal.
While cloud GPUs charge per second of computation, local workstations convert computing into time investments. When project deadlines permit, routing dialogue tests and preliminary camera sweeps through local open-weights models saves valuable cloud credits for client-facing final deliveries.
The reroll multiplier on usable seconds
What we have not measured is how many rerolls a usable shot takes on each platform. That number decides the real cost per usable second more than the rate card does.
A headline rate card of $0.08 per second is meaningless if a model requires ten takes to deliver an anatomically sound hand gesture or stable facial identity. Conversely, a premium rate of $0.4622 per second on Seedance 2.5 becomes cost-effective if it delivers an approved dramatic performance on the first or second attempt.
Tracking the ratio of generated frames to final timeline minutes is the ultimate metric for studio profitability. Rate cards establish the floor, but hit rates determine the ceiling.