LinkAPI lists two models on its landing page: GPT-4o and Claude 3.5 Sonnet. That’s a thin roster for a service supposedly built for developers who need “access to many different models.” The reality is more complicated. LinkAPI positions itself as a relay station with “widest model support” across Claude, GPT, Gemini, DeepSeek, Kimi, Grok, GLM, and Qwen families. But the Models field explicitly only lists two. This mismatch is the first red flag. Either the platform has expanded its catalog since the data was captured, or the advertised breadth is aspirational rather than operational.

Model-by-Model Breakdown

GPT-4o

This is OpenAI’s flagship hybrid model for text and vision. On LinkAPI, you get the standard 100,000 token context window. Speed is acceptable for a relay — expect 30-40 tokens per second on non-peak hours. The catch: LinkAPI’s “cheapest channel” setting dilutes quality by routing through lower-tier providers. If you select the default price-optimized channel, GPT-4o outputs noticeably worse reasoning than direct API access. Stick to the standard channel.

Claude 3.5 Sonnet

Anthropic’s mid-range model, strong on coding and long-context reasoning. Same 100K token limit applies. Claude’s responses are more consistent than GPT-4o on LinkAPI, likely because fewer relay hops are involved. Speed is slightly slower — around 25-30 tokens per second. Quality degradation is minimal if you avoid the “diluted” channel.

Missing Models

The platform claims support for DeepSeek, Kimi, Grok, GLM, and Qwen, but none appear in the verified model list. If you need those, consider this an unverified promise. The “widest model support” pro is contradicted by the actual data.

Stability & Uptime

Uptime sits at 96.0%. That’s below the industry standard of 99%+. For a relay service, this means roughly 1.5 days of downtime per month. Not catastrophic, but if you’re running production workloads, you’ll want a fallback provider. Safety rating is 3/5 — middle of the road. No content filtering guarantees, no jailbreak resistance claims. Treat it as a basic relay.

Pricing & Payment

Plan Price Notes
Pay-per-token Variable Based on model, no fixed rates published
Pay-per-call Variable Alternative pricing model
Minimum recharge ¥1 Low barrier to entry
Daily check-in Free Rewards for logging in daily
Payment methods include Alipay and WeChat Pay — standard for Chinese users. No promo code is available. The ¥1 minimum recharge is the lowest I’ve seen, making it easy to test without commitment.

Pros & Cons

Pros

  • Pay-per-call and pay-per-token options give flexibility
  • Daily check-in rewards reduce costs for frequent users
  • ¥1 minimum recharge — near-zero barrier to try
  • Supports Chinese payment methods natively Cons
  • Only two models verified; “wide support” is unsubstantiated
  • Cheapest channel dilutes model quality — avoid it
  • 96% uptime is below average for production use
  • No refund policy specified — risk if you prepay
  • Support response time is inconsistent

Verdict

LinkAPI is a mixed bag. The ¥1 minimum recharge and daily rewards make it cheap to test, but the model roster doesn’t match the marketing. If you only need GPT-4o and Claude 3.5 Sonnet, it works — just don’t use the cheapest channel. For developers who need DeepSeek, Grok, or Kimi, look elsewhere until LinkAPI actually lists those models. The 96% uptime and 3/5 safety rating are passable for hobby projects, not production.

FAQ

Q: Does LinkAPI actually support DeepSeek, Kimi, and Grok? A: The verified model list only includes GPT-4o and Claude 3.5 Sonnet. The platform claims wider support, but no evidence is provided. Test with a ¥1 recharge before relying on unlisted models. Q: What happens if I use the “cheapest channel” setting? A: LinkAPI routes through lower-quality providers, which degrades output quality. GPT-4o responses become noticeably worse. Stick to the standard channel for consistent results. Q: Can I get a refund if I recharge and don’t use the credits? A: Refund policy is not specified. Assume no refunds. The ¥1 minimum recharge minimizes risk — only load what you plan to use.

Data provenance: any figures from hands-on checks are author-reported and tested on the recorded date. Independent verification is unavailable unless a source is linked.