Ox Alpha vs MockForge

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Ox Alpha compared with MockForge
Detail	Ox Alpha	MockForge
What it does	Free stealth reasoning model for coding, agentic work, and multimodal workflows available through OpenRouter	Open-source API mock server for multiple protocols
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Free	Freemium
Pricing	$0 per million input tokens, $0 per million output tokens during preview; TryOXAlpha hosted chat offers 5 free guest replies, 15 additional replies after account creation, and 100 AI replies for $4.99 one-time purchase	Free: $0/month with 10,000 requests/month and local mocks only. Pro: $29/month with 250,000 requests/month, 100,000 platform AI tokens/month, and 3 hosted mocks. Team: $99/month with 1,000,000 requests/month, 1,000,000 platform AI tokens/month, and unlimited hosted mocks. Annual plans include 2 mont
Key features	1,048,576-token context window Multimodal inputs: text, image, and video Tool calling and structured outputs Configurable reasoning efforts: low, high, and max OpenAI-compatible API endpoint Supported through OpenRouter model ID stealth/ox-alpha 131,072 output tokens maximum	Multi-protocol support (REST, gRPC, GraphQL, WebSocket, Kafka, MQTT and more) Realistic data synthesis with template tokens and faker fields Latency and fault injection for testing retries and fallbacks Record and replay for capturing and replaying live traffic Modern admin UI for managing servers, overrides and metrics Configuration as code with OpenAPI specs and YAML Local-first development without account requirement CI integration with local endpoints HTTP bridge exposing gRPC services over REST BYOK AI integration with user provider keys
What makes it different	1M token context window for repository-scale coding tasks Multimodal support combining code with screenshots and diagrams Free preview pricing during stealth release Tool calling and structured output for agentic workflows	Multi-protocol mocking from one configuration file Realism-first simulation with data synthesis and failure injection Open source with permissive MIT or Apache-2.0 licensing Local-first approach with optional cloud collaboration Deploy to cloud hosting with a single command
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet −1 (down) since last check	9 no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	17	17
Referring domains (Majestic)	11	7

5 details filled in for both companies.

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