AI models with video input: 53 that watch the footage

Video
Services found: 53
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
41

Qwen3.5 Plus 2026-04-20

Qwen
Text & chatVisionVideo
$0.3 / $1.81M tokensAPI only1.8View
42

Seed-2.0-Lite

Bytedance Seed
Text & chatVisionVideo
$0.25 / $2262.1K tokensAPI only2View
43

Seed 2.1 Turbo

Bytedance Seed
Text & chatVisionVideo
$0.5 / $2.5262.1K tokensAPI only2.5View
44

GLM 4.6V

Z.ai
Text & chatVisionVideo
$0.3 / $0.9131.1K tokensAPI only0.9View
45

Perceptron Mk1

Perceptron
Text & chatVisionVideo
$0.15 / $1.532.8K tokensAPI only1.5View
46

Seed 1.6

Bytedance Seed
Text & chatVisionVideo
$0.25 / $2262.1K tokensAPI only2View
47

Seed-2.0-Code

Bytedance Seed
Text & chatVisionVideo
$0.5 / $3262.1K tokensAPI only3View
48

Qwen3.8 Omni Flash

Qwen
Text & chatVisionAudio
1M tokensAPI onlyView
49

MiMo-V2.6-Pro

Xiaomi
Text & chatVisionAudio
$0.435 / $0.871M tokensAPI only0.87View
50

MiMo-V2.6-Flash

Xiaomi
Text & chatVisionAudio
$0.14 / $0.281M tokensAPI only0.28View
51

MiMo-V2.6-Pro-UltraSpeed

Xiaomi
Text & chatVisionAudio
$4.35 / $8.71M tokensAPI only8.7View
52

Perceptron Mk1.5

Perceptron
Text & chatVisionAudio
$0.15 / $1.536.9K tokensAPI only1.5View
53

Ling 3.0 Flash VL

InclusionAI
Text & chatVisionVideo
$0.02 / $0.059256K tokensAPI only0.059View

Browse by need

Fifty-three models accept video as input - describing what happens on screen, summarising a recording, answering questions about a clip. This is comprehension, not generation.

Kimi K3, GLM 5.3 Flash and Gemini 3.8 Flash lead, with output from $0.25 to $15 per million tokens. Video is billed by sampled frames plus audio, so a minute of footage can consume more tokens than a long document and costs climb faster than intuition suggests. Sampling rate is usually configurable; dropping it is the first optimisation.

Frames, not minutesBilling counts sampled frames plus audio, so cost scales with sampling rate as much as length.
Comprehension onlyThese models watch and explain; none of them produce footage.
Sampling is the leverHalving the frame rate usually halves the bill with little loss on slow-moving content.

Models with this capability

How to choose

  • Set sampling to match the content — a lecture needs far fewer frames than a sports clip.
  • Check maximum clip length and whether the model accepts audio alongside video.
  • Pre-trim footage: sending only the relevant minutes beats sending the whole recording.
  • Verify timestamp accuracy if you rely on the model to locate moments.

Common mistakes

Uploading raw recordingsAn hour of meeting footage costs more than the transcript of the same hour by a wide margin.
Expecting frame-perfect recallSampling means the model literally does not see every frame.

Who this suits

OperationsReviewing recorded processes for compliance or quality.
EducationTurning lectures into structured notes and chapters.
Media teamsLogging and tagging archives without watching them.

Frequently asked questions

Is this video generation?

No, this is comprehension. These models watch and describe; they do not produce footage.

Why is video so expensive?

Billing counts sampled frames plus audio, so a minute of footage can exceed a long document. Lowering the sampling rate is the first optimisation.

What is it good for?

Meeting and lecture summaries, surveillance triage, quality control on recorded processes, accessibility descriptions.

Can it read text on screen?

Yes, subject to resolution — screen recordings work better than camera footage of screens.

Does it hear the audio track?

On most models yes, and it materially improves summaries.

Frequently searched

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