Pricing+7% bonus
Michael Johnson

Best All-in-One AI APIs for LLMs, Image Generation, and Video: 11 Compared

Compare 11 all-in-one AI API platforms for language, image, video, and audio workflows. Check current modality coverage, billing units, free-access scope, and API formats.

Get Cost-lower Key
Best All-in-One AI APIs for LLMs, Image Generation, and Video: 11 Compared

An all-in-one AI API platform consolidates account access and billing across language and media tasks. It does not necessarily use one endpoint, one request body, or one billing unit for everything. This comparison focuses on 11 platforms with documented language and media coverage, including supported video routes.

Key Takeaways

  • One credential can cover multiple modalities while requests, asynchronous job handling, and rates remain different.

  • Current modality availability matters more than an old model roster.

  • Free text inference is not evidence of free image or video generation.

  • OpenAI’s discontinued Sora endpoint and Stability’s discontinued hosted video endpoint are not counted as current all-three-modality options.

  • GPTProto consolidates supported model access and prepaid balance without guaranteeing every model or endpoint in this market comparison.

Use this pattern

Make the first API call.

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://gptproto.com/v1",
    api_key=os.environ["GPTPROTO_API_KEY"],
)

completion = client.chat.completions.create(
    model="gpt-6.1-terra",
    messages=[
        {
            "role": "user",
            "content": "Who are you?"
        }
    ]
)
print(completion.choices[0].message.content)

Try this API without coding.

Choose a model, test a real prompt and inspect the response before integrating the SDK.

Table of contents

How These Options Were Compared

This comparison reviews documented language, image, and video routes; task-specific request formats and job handling; billing units and minimum purchases; and feature restrictions. Official documentation, pricing pages, and lifecycle notices were checked on November 6, 2026 (UTC). List order is editorial, not a measured ranking of accuracy, speed, reliability, or value. Model and feature availability can differ by route.

Get One Key for Your Team

All-in-One AI API Comparison

Platform Documented task scope Billing structure Primary fit
GPT Proto Supported LLM, image, video, audio routes Prepaid model-specific usage; no required subscription One key and balance across supported language and media models
Google Gemini API Native language, image, audio and supported video generation Model/modality-specific token rates Native multimodal workflows
Together AI Language, image, video, audio and additional inference tasks Model-specific token/media rates; $15 first credit purchase, $5 thereafter Open-model inference plus media
Replicate Language and media models; endpoint-dependent Compute-time or output-unit billing Community-model and media experimentation
fal.ai Image, video, audio, 3D and selected language routes Model-specific image, megapixel, video or compute units Media-heavy developer products
Crun AI Language, image, video and audio catalog Credits; dollar conversion depends on purchased plan Credit-based media aggregation
OpenRouter Language plus selected image, video and audio routes Model-specific usage plus credit-purchase fee LLM-led products adding supported media
Eden AI Language, image, video and audio via supported providers Provider usage plus published credit-purchase fee Provider-agnostic task interfaces
Novita AI Language, image, video, speech and additional model tasks Endpoint-specific token and media rates Language inference alongside generative media
AI/ML API Language, image, video, audio and embedding categories Model- and configuration-specific catalog rates Broad task-category evaluation
Runware Image, video, audio, text and other supported categories Model/output rates or compute-time pricing Creative generation with model-specific controls

The 11 Platforms, by Multimodal Workload

1. GPT Proto — One key and balance across supported language and media models

GPT Proto combines supported model APIs with browser-based image and video tools. Supported language and media routes share an account and prepaid balance; request formats, model availability, and billing units remain route-specific. Route formats and billing units remain model-specific: a single account does not make video jobs synchronous chat requests. The catalog, current model pages, and selected API examples define availability rather than an assumption that every upstream model or feature is exposed.

Get One Key for Your Team

2. Google Gemini API — Native multimodal workflows

Google distinguishes multimodal understanding from media generation. Google now lists gemini-omni-1.2-flash as a generally available video generation and editing model. Standard video output is token-billed; its 720p example equates to about $0.07 per output second, with input charges additional. Google states that requests to the previous gemini-omni-1.1-flash will automatically route to 1.2 Flash from December 3, 2026. Selected models have free access, but the cited visual/video generation configurations are paid. Google AI Studio testing does not establish a general free production allowance for every modality. (Source: Google Gemini API pricing).

3. Together AI — Open-model inference plus media

Together’s serverless catalog combines multiple task types under a provider account. Language, image, and video requests use task-specific methods; an OpenAI-compatible chat client is not the complete interface for every endpoint. The current billing policy requires a minimum $15 first credit purchase and $5 for subsequent purchases; it does not offer a general free trial. See Together AI billing requirements. Serverless, dedicated deployments, and custom models also have different operating and commercial terms. (Source: Together AI serverless inference overview). The Together AI alternatives comparison distinguishes hosted inference from dedicated GPU capacity and fine-tuning services.

4. Replicate — Community-model and media experimentation

Replicate’s Predictions API normalizes job handling across many models, while input fields and charging methods remain model-specific. Its listed FLUX.1 schnell example is $0.003 per output; that is not a price for every image model. Dedicated deployments can incur idle and setup charges. Limited free testing exists for selected models, not a universal recurring allowance. Long-running predictions need status handling rather than a chat-only client. (Source: Replicate inference pricing).

Get One Key for Your Team

5. fal.ai — Media-heavy developer products

fal.ai’s media focus makes it relevant to applications whose main work is creating images and video. Selected language routes broaden the scope, but model and endpoint support should be checked independently. Queue, streaming, and synchronous APIs are not interchangeable. A current FLUX or Wan rate is a named model example rather than a platform-wide price. Sandbox offers and promotional access should not be treated as unrestricted free production inference. (Source: fal.ai model platform). For other media-focused providers, compare fal.ai alternatives.

6. Crun AI — Credit-based media aggregation

Crun publishes credits consumed by each model and plan-specific credits per dollar. For example, three credits per output equal $0.015 only at a 200-credits-per-dollar conversion. A different purchase plan changes that result. Input duration and settings can add charges. A common credit wallet can simplify budgeting, but comparisons need the exact conversion and route rather than a promotional dollar figure detached from its plan. (Source: Crun AI credit pricing).

7. OpenRouter — LLM-led products adding supported media

OpenRouter now documents selected media-generation routes, so treating it as permanently text-only is inaccurate. Its model catalog, provider controls, and request flows differ by modality. Free language models do not make paid image or video routes free. Standard and Business credit-purchase fees are separate from inference units. The hosted route’s input format and output handling matter more than a generic promise of one unchanged request envelope. (Source: OpenRouter model catalog).

Get One Key for Your Team

8. Eden AI — Provider-agnostic task interfaces

Eden AI offers task abstractions across supported providers and modalities. Model availability and feature parity depend on the chosen route. Its published 5.5% platform fee applies to credit purchases; it should not be confused with a guaranteed flat surcharge on every inference request. A broad tool count is not a count of separate inference providers. Trial offers and add-ons need their own terms. (Source: Eden AI pricing and platform fees). The Eden AI alternatives guide compares unified model access with broader task-based AI service platforms.

9. Novita AI — Language inference alongside generative media

Novita combines language and media routes with model-specific interfaces and prices. Its video catalog includes different families, resolutions, durations, and audio options, so no single output-second price represents the platform. Selected free LLM listings do not establish free image or video quotas. Compare the model needed by the application rather than a starting figure drawn from a cheaper, unrelated task. (Source: Novita AI inference pricing).

10. AI/ML API — Broad task-category evaluation

AI/ML API provides a broad model catalog through a common account. OpenAI-compatible interfaces apply where documented, while video jobs and model-specific features can require different schemas. Its documentation reports the free tier paused, so a free playground label should not be treated as a general API allowance. Claims of no usage limits or universal feature parity are not justified by catalog breadth. (Source: AI/ML API model pricing).

11. Runware — Creative generation with model-specific controls

Runware documents multiple task categories and supports model-specific generation controls. Its large model-count claim includes broader catalog and deployment scope, not an identical collection of production endpoints. Current pricing offers $2 trial credits for qualifying business-email signups. Media comparisons need matching resolution, inference steps, duration, input processing, and billing method rather than a universal cheapest-platform claim. (Source: Runware models API reference).

Get One Key for Your Team

Why OpenAI and Stability Are Not Current All-Three-Modality Picks

OpenAI’s deprecation notices state that the Sora Videos API and Sora 2 models were removed on September 24, 2026. Its language, image, and audio APIs remain separate products, but the discontinued video endpoint cannot establish current LLM-plus-image-plus-video coverage. Stability’s video notice identifies the hosted Stable Video Diffusion endpoint as deprecated on July 24, 2025. Published weights and third-party hosting are different access paths. Stability’s image and other APIs should not be mislabeled a complete current LLM/image/video offering on that basis.

Comparing Prices Across Text, Images, and Video

Text models commonly meter input and output tokens. Image generation may be billed by output, megapixels, tokens, or compute. Video may use output seconds, jobs, tokens, and additional input processing. Matching a $0.10-per-video figure against $0.10-per-second without matching duration is invalid. Compare the same model, resolution, duration, sound setting, generation steps, and input type. Include platform fees, idle capacity, retries, and minimum purchase requirements. A credit bonus or promotional model rate is not a standing discount across the catalog. The affordable AI video APIs comparison examines video-specific pricing and application requirements separately from text-token rates.

Get One Key for Your Team

Free Access: What It Actually Covers

Selected Gemini models have free access, but current video generation is a paid-tier service. OpenRouter’s free plan applies to eligible free models. Together requires a minimum $15 first purchase, with a $5 minimum thereafter. Replicate offers limited selected-model tests. Runware’s advertised $2 credit requires a qualifying business email. AI/ML API’s free-tier documentation reports its free tier paused. GPT Proto’s standing free API allowance is not established by recharge bonuses or temporary media promotions.

Integration and Production Readiness

A typical multi-modal workflow drafts a brief with a language model, generates an image, starts a video job, and retrieves the finished asset. These steps can share account credentials while keeping different payloads and result formats. Store job identifiers and handle polling or callbacks for asynchronous generation. OpenAI-compatible Chat Completions simplifies supported language calls. It does not establish that image editing, reference images, video upload, audio generation, or tool calls use identical schemas. Check each task interface instead of promising migration through a model-string change alone.

Choosing by the Dominant Workload

For LLM-led products, compare supported reasoning and tool workflows before treating media as an added capability. For image-heavy products, test reference inputs, editing controls, output size, and commercial terms. Video-heavy products need supported duration, resolution, sound, job cancellation, and predictable status handling. A useful shortlist contains platforms that cover the actual required routes. It does not require every candidate to carry the same brand names or every model in every modality.

Building Multimodal Workflows with GPT Proto

GPT Proto’s current model catalog includes supported language, image, video, and audio routes. Teams can combine those routes under one account and balance while keeping each model’s documented integration. GPT Proto provides access to supported models through one account, one API key, and a shared prepaid balance. There is no required monthly subscription, and unused credits do not expire under the current pricing terms. The pricing page currently starts credit top-ups at $15; this adds usage balance rather than buying unlimited inference. Model-specific rates, cache charges, media units, and promotions remain separate. See current GPT Proto pricing. Availability and feature support are route-specific. A capability in a model publisher’s native API is not automatically available through every GPT Proto endpoint. The application remains responsible for retrieval, tool execution, permissions, output validation, and error handling. GPT Proto’s platform and compatibility details. For an image-focused comparison, see image generation APIs.

Get One Key for Your Team

One Key for Agents, Coding & Apps

Power your AI agents, coding tools, and apps with affordable access to leading models through one API key.

Browse API Models
One Key for Agents, Coding & Apps
Related features
All Features
AI Song Generator
AI Song Generator
Create original songs online with AI. Describe a mood or paste your lyrics, pick a vocal, and get two complete songs with cover art and lyrics.
Cute Wallpaper Generator
Cute Wallpaper Generator
Create cute wallpapers online from a text prompt or uploaded image. Explore kawaii, pastel, pet, floral, phone, and desktop wallpaper ideas with GPTProto.
Related models
All models
OpenAI
GPT Image 2.6 Flare
by OpenAI
5% OFF
OpenAI
GPT Image 2.6 Sunburst
by OpenAI
5% OFF
Google
Gemini 3.8 Flash Tts
by Google
40% OFF
OpenAI
GPT 6.1 Terra
by OpenAI
20% OFF

Frequently Asked Questions

Does all-in-one mean one request schema?

No. It normally describes consolidated access and billing. Text, image, video, and audio routes may use different payloads, methods, job flows, and output formats.

Can I use one key for text, images, and video?

On platforms that explicitly support those routes under the same account, yes. That does not prove every upstream model is available or that only a model parameter changes.

Which platforms provide free video API access?

Free coverage is offer- and model-specific. Do not infer it from a free text model, a browser playground, a credit top-up bonus, or a historical promotion.

Is OpenAI currently an all-in-one option including Sora video?

Not through the discontinued Sora endpoint cited here. Current video requirements need a currently supported route rather than that retired API.

How should I compare platform cost?

Use matched model and media settings, preserve billing units, and include inputs, platform fees, retries, and minimum purchases. The lowest advertised starting figure is not a universal lowest bill.

Related Articles

More Blogs
GPT-6.1 Terra vs Sonnet 5.5: Half the Token Price, Different Coding Limits, and the 272K Catch

GPT-6.1 Terra vs Sonnet 5.5: Half the Token Price, Different Coding Limits, and the 272K Catch

OpenAI's GPT-6.1 Terra ( gpt-6.1-terra ), released on October 26, 2026, carries an official list price of $1.00 per million input tokens and $5.00 per million output tokens. That is exactly half the official rate of Anthropic's Claude Sonnet 5.5 ( claude-sonnet-5-5 ), which launched on September 28, 2026 at $2.00 input and $10.00 output. On GPTProto, the gap widens to 56%: GPT-6.1 Terra on GPTProto is billed at $0.80 input and $4.00 output (20% below OpenAI's list rate), while Claude Sonnet 5.5 on GPTProto is billed at $1.80 input and $9.00 output (10% below Anthropic's list rate). Does a 56% lower per-token rate mean you can swap claude-sonnet-5-5 for gpt-6.1-terra across your entire backend? Not if your workload depends on complex multi-file refactoring. On Terminal-Bench 4.0, Anthropic's published score for Claude Sonnet 5.5 is 70.6%, while OpenAI's published maximum-effort score for GPT-6.1 Terra is 50.3%. OpenAI's own launch announcement states plainly that GPT-6.1 Sol and GPT-6 Astra remain the better choice for the most complex programming tasks. Where Terra punches far above its price tier is visual reasoning, browser and desktop computer use, and well-scoped everyday engineering tickets—provided your prompt stays under OpenAI's 272,000-token billing threshold.

Tiffany Layne | 2026-11-06

GPT-6.2 Astra Release Date: What's Confirmed, What's Rumored

GPT-6.2 Astra Release Date: What's Confirmed, What's Rumored

GPT-6.2 Astra has no release date. As of November 4, 2026 there is no model card, no published price, and no model string you can call through the API. The awkward part is that some developers are already running it anyway — their requests land on a model that officially does not exist, and nothing in their interface says so. The only public trace is a string. Since October 31, gpt-6.2-astra has been appearing in the usage dashboards of some Codex users, billed as its own line item, next to a model that still calls itself GPT-6 Astra in the picker. That gap between what the interface says and what the backend records is the entire story so far. Get Newest OpenAI API I read about a dozen Chinese-language write-ups, four first-hand posts on X, and checked OpenAI's model catalog, the API changelog, and the pricing page myself. The problem is not that information is scarce. It is that confirmed facts and confident guesses get published in the same paragraph with no marker between them. This piece puts the marker back. And one thing you can do right now: check whether your own account is already being routed to this model. It takes about thirty seconds, the method is in the fourth section, and it is the only part of this story anyone can verify firsthand.

Michael Johnson | 2026-11-04

Best LLMs for Tool Calling in 2026: 9 Models Compared

Best LLMs for Tool Calling in 2026: 9 Models Compared

Tool calling lets a language model request an external function with structured arguments. The application executes the function and returns its result; the model does not independently gain permission to operate a system. The best model is the one that completes the intended workflow reliably at an acceptable total cost. Get One Key for Your Team Key Takeaways This comparison covers nine models using documented tool support, API conditions, and published pricing; the order is editorial rather than a measured accuracy ranking. Correct tool selection, valid arguments, parallel calls, multi-step recovery, and appropriate abstention are distinct requirements. GLM-4.7-Flash has documented free rates; MiniMax M3 is a low-priced paid option, not the cheapest entry overall. Claude Opus 5.5, Sonnet 5.5, and Fable 5.1 do not support forced tool use. GPT-6 Sol’s Chat Completions tool calling requires reasoning_effort=none; API-surface compatibility must be checked.

Michael Johnson | 2026-10-30

Best LLMs for RAG in 2026: 9 Models for Grounded Answers and Cost

Best LLMs for RAG in 2026: 9 Models for Grounded Answers and Cost

The best LLM for RAG is the generator that answers from the retrieved evidence, cites it correctly, and abstains when the evidence is insufficient. A model’s general benchmark score or advertised context length does not establish those behaviors. This guide compares nine generators; embedding models are treated separately as retrieval components. Get One Key for Your Team Key Takeaways Compare generators using the same retrieved passages and questions; otherwise retrieval differences distort the result. Faithfulness, citation support, answer relevance, and appropriate abstention measure different failure modes. Current API availability matters: Gemini 3 Pro Preview is not a valid new official deployment target. Reasoning traces and long contexts do not guarantee faithful answers. Total answer cost includes retrieved input, generated reasoning/output, retries, retrieval, and reranking.

Michael Johnson | 2026-10-29