CosyVoice V3.5 Flash
$0.000014 / character
per character
Buyer benefits: Text to speech API
One API platform for text, image, video and voice models
ModelRush is a hosted AI API platform for developers and product teams building with text, image, video and voice models. It provides a shared account and prepaid credit balance, an interactive playground, API documentation and request history. Chat endpoints support OpenAI-compatible requests; media models use their documented model-specific APIs. Pricing is paid, prepaid and usage-based: credits are deducted for API usage rather than a fixed monthly subscription. Current model rates are available at https://modelrush.ai/pricing. The hosted platform is proprietary; its separate public developer-tools repository contains open-source supporting materials. The catalog includes an age-restricted Spicy section alongside general-purpose models. Submitted by the ModelRush product team with AI assistance, not an independent review.
Independent editorial assessment
ModelRush is best suited for developers needing unified API access to text, image, video, and voice models with transparent per-model pricing. Its strongest verified quality is clear multi-language localization and detailed pricing information. A notable unknown is the limited visibility into legal entities behind the service and privacy policy details.
Pricing is detailed per model, region, and transaction type with clear unit costs in USD; no free plan or trial is indicated.
$0.000014 / character
per character
Buyer benefits: Text to speech API
$0.000025 / character
per character
Buyer benefits: Enhanced text to speech API
Input $0.4664 / 1M tokens, Output $1.3992 / 1M tokens
per 1 million tokens
Buyer benefits: Chat completions API
Important caveat: Pricing lacks mention of free-tier limits or trial durations; all prices are in US dollars and presented per usage unit or request.
Vendor pricing may have changed. Check official pricing.
| PageSpeed | Performance | FCP | LCP | CLS | TBT |
|---|---|---|---|---|---|
| Mobile | 81 | 1.25 s | 3 s | 0 | 444.5 ms |
| Desktop | 99 | 315 ms | 841 ms | 0.003 | 0.5 ms |
Lighthouse lab test · Mobile · Measured Sep 9, 2026, 06:20 UTC
Lighthouse lab test · Desktop · Measured Sep 9, 2026, 06:20 UTC
Only metrics returned by the Google PageSpeed test are shown.
No explicit company registration info or team details visible on main pages; only the brand name ModelRush is presented.
Terms or terms of service references not found on main or docs pages; possibly included in docs but not explicit in scan.
All scanned pages use HTTPS with no mixed content or explicit security warnings observed.
ModelRush main pages load and display API details including models, pricing, and docs, showing the website and primary workflow function correctly.
Site declares localization with detected alternate languages including English, Chinese, Spanish, and Portuguese Brazilian.
The site navigation is consistent with clear menu, readable text, good layout, and responsive pages for desktop view.
Most images lack alt text with 4 missing alt attributes out of 5 images on main page.
Comprehensive documentation is available with a structured overview and many detailed subsections linked.
Policy links on docs pages exist but privacy policy content or summary is not directly observed on scanned pages.
No cookie notice banner or message detected on any scanned page of ModelRush site.
No direct evidence about personal data collection or its acknowledgment is present on scanned pages.
Titles, meta descriptions, H1 headings, canonical URLs, and internal links appear well-formed and reasonable on all scanned pages.
API and CLI integration are documented with references to webhooks and agent skills; no explicit SDK or IDE stated.
No explicit mention of supported programming languages, frameworks, runtimes, or OS environments found in docs or product pages.
Documentation includes sample API requests with Playground for live testing indicating executable examples.
Docs provide quickstart and API keys instructions enabling first result rapidly though no explicit time metrics shown.
Error handling concepts are documented in dedicated section, but detailed debugging features are not extensively shown.
API key usage is documented clearly in the docs supporting proper authentication and secret management basics.
The site documents usage limits and retries but does not clearly show detailed rate limit policies.
No evidence of local or self-hosted deployment options; only cloud API usage is described.
No public repository URLs or license details are presented in any scanned content or docs.
No information found regarding data export capabilities or measures against vendor lock-in.
No direct evidence about maintenance frequency or release cadence visible on scanned pages.
ModelRush's website provides clear navigation through a top menu, along with comprehensive documentation, pricing details, and integrated API playgrounds. This layout supports straightforward onboarding, enabling developers to find API keys, pricing, and model details efficiently for a first successful integration.
The site features a visually consistent design with reliable page structure including valid titles, headings, and canonical URLs. However, image accessibility is limited due to missing alt attributes on most images. Internal link density is strong, supporting navigability, though no cookie notice or visible legal disclaimers are present.
ModelRush pages have appropriate titles, meta descriptions, and headings consistent with content. Canonical URLs are correctly set to prevent duplicate content issues. Crawlability is supported via robots.txt allowing most paths. Internal links are abundant aiding site navigation, and overall search readiness is good without observed indexing blockers.
No explicit privacy policy or terms of service pages were found in the scanned content, nor was a cookie notice observed. Policy links point to documentation but lack clear privacy disclosures. There is insufficient evidence from the public pages about personal data collection or user data handling.
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