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Text to Video

Text to Video API Pricing

Veo 4 Text to Video — Google DeepMind's fourth-generation model delivering photorealistic, high-fidelity 1080p videos with exceptional prompt adherence and cinematic camera control.

Savings Alert-9900% ↓Cheaper than Fal.ai

About Text to Video

Veo 4 is Google DeepMind's fourth-generation video generation model, delivering state-of-the-art photorealism at up to 1080p. It produces cinematic-quality video from natural-language descriptions with exceptional prompt adherence, realistic physics, and precise camera motion control. Built on advances in spatial understanding and temporal coherence, Veo 4 renders complex multi-subject scenes with consistent lighting and motion dynamics — setting a new benchmark for text-to-video quality.

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Estimate monthly API spend and compare absolute developer savings.

Monthly API Generations10,000 runs
50025,00050,00075,000100,000+
MuAPI Monthly Cost

$30000.00

$3.00 per generation
Fal.ai Cost

$300.00

Not available
Estimated Monthly Savings$-29700.00
Annual Savings$-356400.00

Detailed Pricing Breakdown

ProviderEstimated RateNotes
muapi$3.00 per generationFlat rate per generation — no per-second billing. Competitively priced for 1080p output quality.
Fal.aiNot availableVeo 4 is not currently available on Fal.ai.
ReplicateNot availableVeo 4 is not currently available on Replicate.

Developer Integration Snippets

1import requests 2import time 3import json 4 5api_key = "YOUR_API_KEY" 6url = "https://api.muapi.ai/workflow/run/veo-4-text-to-video" 7 8def poll_for_result(run_id): 9 url = f"https://api.muapi.ai/workflow/run/{run_id}/api-outputs" 10 headers = { 11 "Content-Type": "application/json", 12 "x-api-key": f"{api_key}", 13 } 14 while True: 15 response = requests.get(url, headers=headers) 16 result = response.json() 17 18 if result['status'] == 'completed': 19 return json.loads(result['outputs']) 20 21 if result['status'] == 'failed': 22 raise Exception(result.get('error', 'Generation failed')) 23 24 time.sleep(5) 25 26data = { 27 "schemas": { 28 "input_data": { 29 "x-order-properties": [ 30 "prompt", 31 "aspect_ratio", 32 "duration" 33 ], 34 "type": "object", 35 "properties": { 36 "prompt": { 37 "type": "string", 38 "title": "Prompt", 39 "name": "prompt", 40 "description": "Text description of the desired video content.", 41 "examples": [ 42 "A cinematic aerial shot of a city at dusk, golden hour lighting, slow dolly forward." 43 ] 44 }, 45 "aspect_ratio": { 46 "enum": [ 47 "16:9", 48 "9:16", 49 "1:1" 50 ], 51 "type": "string", 52 "title": "Aspect Ratio", 53 "name": "aspect_ratio", 54 "description": "Output video aspect ratio.", 55 "default": "16:9" 56 }, 57 "duration": { 58 "type": "int", 59 "title": "Duration (seconds)", 60 "name": "duration", 61 "description": "Video duration in seconds.", 62 "default": 8, 63 "minValue": 5, 64 "maxValue": 30, 65 "step": 1 66 } 67 }, 68 "title": "BaseInput", 69 "required": [ 70 "prompt" 71 ], 72 "endpoint_url": "veo-4-text-to-video" 73 }, 74 "output_data": { 75 "type": "object", 76 "properties": { 77 "video": { 78 "type": "string", 79 "title": "Video", 80 "description": "Generated video URL", 81 "examples": [ 82 "" 83 ] 84 } 85 }, 86 "title": "Veo4T2VOutput", 87 "required": [ 88 "video" 89 ] 90 } 91 } 92} 93 94headers = { 95 "Content-Type": "application/json", 96 "x-api-key": f"{api_key}", 97} 98 99response = requests.post(url, json=data, headers=headers) 100 101result = response.json() 102print("Queued:", result) 103 104outputs = poll_for_result(result["run_id"]) 105print("Completed:", outputs) 106

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