Open-source context compression for LLM apps and coding agents that trims tool output, logs, files and RAG results before the model reads them.

AIFast Model Check
Online checker that probes OpenAI-compatible API gateways for model mismatch, degraded capability and routing changes, with itemized evidence.
What is AIFast Model Check?
AIFast Model Check, also called the LLM API Gateway Check, is a browser tool from AIFast HK for people who buy model access through third-party relay endpoints. You enter a public HTTPS base URL, a temporary API key and a model ID, then choose a fast run of about 3 requests or a standard run of about 7. The tool screens authentication and the model list, protocol compliance, instruction following, visible metadata, token usage fields, random dynamic questions, streaming (SSE) and tool-call behavior. The report lists why each check passed, failed or stayed inconclusive instead of giving a single unexplained score, and it records the requested model next to the one returned. The vendor is clear that one black-box test cannot prove which model sits behind a gateway; the score measures API compatibility, not authenticity. It says the key is not stored in a database or cache. The vendor lists no fee for the checker, though each run spends a small amount of token quota on the endpoint tested.
Use cases
- Check a relay API for model substitution
- Compare several API gateways with one test
- Verify token usage fields are consistent
- Test streaming and tool-call support
- Screen an endpoint before funding production use
- Keep evidence for a dispute with a provider
Who it's for
Why use AIFast Model Check
- Gives itemized evidence you can save and compare over time, rather than a single score without explanation.
- Helps spot obvious problems such as mismatched model names, missing token fields or failing streaming before you commit budget.
- Runs in the browser with no download, using a temporary capped key that you can revoke afterwards.
- The guidance repeatedly warns against over-reading one result, which reduces false positives.
- Fast and standard modes let you trade speed for depth.
AIFast Model Check features
- Fast mode of about 3 requests and standard mode of about 7
- Checks authentication and the /models list
- Chat Completions protocol compliance check
- Instruction-following test with a server-side random string
- Comparison of requested and returned model fields and metadata
- Token usage arithmetic and completeness check
- SSE streaming and tool-call signal checks
- Itemized pass, inconclusive, fail and observation results
- Works with GPT, Claude, Gemini and DeepSeek compatible endpoints
AIFast Model Check integrations
How to get started with AIFast Model Check
- Enter the public HTTPS base URL of the gateway up to the version path, for example ending in /v1.
- Paste a temporary, quota-limited API key and the exact model ID from the provider's console.
- Choose fast or standard mode and run the check; standard adds streaming, tool calls and style sampling.
- Read the itemized report, save the evidence, and repeat the test at different times before drawing conclusions.
AIFast Model Check limitations
- A single black-box test cannot prove which model is behind a gateway
- The score reflects API compatibility, not model intelligence or vendor certification
- Only public HTTPS OpenAI-compatible endpoints are supported
- Each run uses a small amount of upstream request and token fee
- The report samples Chat Completions only, not the full Responses or Anthropic Messages protocols
AIFast Model Check pricing
AIFast Model Check is free to use.
Prices can change and may vary by country or exclude tax. Check the official pricing page.
AIFast Model Check alternatives
The main AIFast Model Check alternatives listed on Debuly are Opik, Price Per Token, Ragas, ValueRay, Blackbox AI and Agent Development Kit (ADK). The table compares pricing and platforms; order is A–Z.
| Tool | Pricing | Starting price | Platforms |
|---|---|---|---|
| AIFast Model Check | Free | — | Web |
| Agent Development Kit (ADK) | Open source | — | CLI, Self-hosted, API |
| Blackbox AI | Contact sales | $0.05, usage-based | API, CLI, Web |
| Opik | Freemium | $19/mo | Web, Self-hosted, API |
| Price Per Token | Free | — | Web, API |
| Ragas | Open source | — | CLI |
| ValueRay | Freemium | — | Web, API, MCP server |

Agent Development Kit (ADK)
Google's open-source, code-first Python framework for building, testing and deploying AI agents and multi-agent workflows.

Blackbox AI
Inference platform with one OpenAI-compatible endpoint for 300+ open and closed models, encrypted connections, and dedicated enterprise deployments.
Contact salesVisit Blackbox AI (official site)Opik
Comet's open-source platform for tracing, evaluating and monitoring LLM applications and agents, self-hosted or in the cloud.
FreemiumVisit Opik (official site)
Price Per Token
Website that compares LLM API token prices, context windows and benchmarks across 300+ models from many providers.

Ragas
Open-source Python library for evaluating LLM and RAG applications with metrics, experiments and synthetic test data generation.
Open sourceVisit Ragas (official site)
ValueRay
Stock and ETF research data with peer rankings and market regime, served by REST API and MCP so AI assistants can analyze symbols.
FreemiumVisit ValueRay (official site)
AIFast Model Check FAQ
Is AIFast Model Check free?
The vendor lists no fee for the checker itself. A run does send a few requests with your key, so a small token charge may apply on the endpoint you test.
Can it prove a gateway is using the model it claims?
No. The vendor states that one black-box test cannot verify model identity and that the score is not vendor certification. It can surface obvious inconsistencies worth investigating.
Is my API key stored?
The page says the key is not stored in the database or cached, is not written to the URL or reports, and that the server does not log the request body. It still recommends a temporary limited key.
What is the difference between fast and standard mode?
Fast mode uses about 3 requests. Standard mode uses about 7 and adds SSE, tool calls and output-style sampling.
Which models and APIs does it support?
It targets public HTTPS OpenAI-compatible gateways serving GPT, Claude, Gemini or DeepSeek models.
What are alternatives to AIFast Model Check?
The vendor points to public leaderboards and evaluation tools for comparison, such as Artificial Analysis, LMArena, OpenCompass, Opik and EvalScope, which answer different questions than an endpoint check.
Sources & verification
Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.
| Source | Type | Accessed |
|---|---|---|
| docs.aifast.hk/model-check/ | official | |
| docs.aifast.hk/pricing | pricing | |
| docs.aifast.hk/en/model-check/ | docs | |
| docs.aifast.hk/en/topics/model-quality/ | docs | |
| docs.aifast.hk/en/guides/model-check-report-guide/ | docs |
Image credits
- Logo: from docs.aifast.hk · fetched · Vendor trademark, used only to identify the product; removed on request
- Cover: none collected yet, so a generated tile is shown.
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