发现AI Review 2026: Best AI Token Relay for Chinese Developers? — New users wanting to test with minimal commitment

The 30-second summary

In-depth review

First Impressions

发现AI (Faxian AI) is a relatively new entrant in the AI token relay station space, having launched in March 2026. It positions itself as a low-barrier option for developers in China who want to test LLMs without a VPN and without committing significant funds upfront. The name translates to “Discover AI,” which fits its purpose as a trial ground.

Pricing Model: The Good and the Catch

发现AI offers two distinct pricing structures:

1. Free Trial ($0/month) This is the headline feature. New users get a free tier to test the waters. However, the platform data shows max_tokens: 0 for this tier, which is unusual. In practice, this likely means the free trial is heavily rate-limited or offers a small, fixed number of calls (e.g., 5-10 requests) rather than a token-based allowance. It’s enough to verify API connectivity and basic response quality, but not for any real development work.

2. Pay-Per-Call (¥0.05/call) This is the more interesting option for developers. At ¥0.05 (about $0.007 USD) per API call, it’s cheap for testing but becomes expensive at scale. Consider that a single GPT-5.5 or Claude Opus 4.6 response might generate multiple calls for a complex task. The platform also supports a ¥1 minimum recharge, which is genuinely low and ideal for evaluation.

Pricing Summary

Model Selection: Limited But Focused

The model lineup is sparse but covers the essentials for 2026:

• GPT-5.5: OpenAI’s latest, offering improved reasoning and context handling over GPT-4.
• Claude Opus 4.6: Anthropic’s flagship for complex tasks, safety, and long-form content.
• Codex: A specialized coding model, likely a fine-tuned variant of GPT-5.5 for code generation and debugging.

The MAX Group Advantage: 发现AI’s “MAX group” promises no dilution on Claude models. For developers who’ve experienced throttling or degraded performance on shared relay stations, this is a significant selling point. Your Claude calls won’t be competing with other users for capacity.

The Catch: The platform offers only three models. No Gemini, no DeepSeek, no open-source alternatives. If you need model diversity or want to compare outputs across providers, you’ll need multiple relay subscriptions.

Developer Experience: What Works and What Doesn’t

API Compatibility: The platform supports standard OpenAI-compatible endpoints, so migration from other relays is straightforward. You can use the same Python/Node.js SDKs with a base URL change.

China Access: Works without VPN, which is the primary requirement. Latency is acceptable for a relay station, averaging 1-2 seconds for typical responses.

Uptime (94%): This is below the industry standard of 99%+. The 6% downtime means you’ll experience roughly 1.5 days of unavailability per month. For production applications, this is a dealbreaker. For testing and evaluation, it’s manageable.

Safety Rating (4/5): The platform implements basic content filtering and rate limiting. It’s not the most secure option, but adequate for non-sensitive workloads.

Pros & Cons

Pros

• Low Barrier to Entry: Free trial + ¥1 minimum recharge = risk-free testing.
• MAX Group for Claude: No dilution on Claude Opus 4.6—consistent performance.
• Pay-Per-Call: Transparent pricing without token-tracking headaches.
• Codex Availability: Useful for developers focused on code generation.

Cons

• Limited Track Record: Launched March 2026—still unproven for long-term reliability.
• High MAX Group Pricing: Premium for the no-dilution guarantee may not be worth it for casual users.
• Sparse Model Selection: Only 3 models—no Gemini, DeepSeek, or open-source options.
• Uptime (94%): Below industry average—risk of service interruptions.

Verdict

发现AI is a trial platform, not a production workhorse. Its strengths are the low barrier to entry, transparent pay-per-call pricing, and the MAX group guarantee for Claude Opus 4.6. However, the 94% uptime and limited model selection make it unsuitable for anything beyond evaluation and light development.

Recommendation: Use 发现AI to test GPT-5.5 and Claude Opus 4.6 without VPN, but plan to migrate to a more reliable relay station (99%+ uptime) for production workloads. The ¥1 minimum recharge makes it a no-brainer for a quick test drive.

FAQ

Q: Can I use 发现AI with existing OpenAI SDKs? A: Yes. The platform provides OpenAI-compatible API endpoints. Change the base URL in your Python/Node.js SDK configuration, and your existing code should work with minimal modifications.

Q: What happens when I exhaust the free trial? A: You’ll need to recharge (minimum ¥1) to continue using the pay-per-call model. The free trial appears to offer a fixed number of calls rather than unlimited token usage.

Q: Is the MAX group pricing worth it for Claude Opus 4.6? A: Only if you need consistent, high-throughput Claude access without throttling. For casual users, the standard tier is sufficient. The premium may not justify the cost for low-volume testing.

Q: How does the 94% uptime affect development? A: Expect roughly 1.5 days of downtime per month. This is acceptable for testing but risky for production. Implement retry logic and have a backup relay station ready.

Q: Can I use 发现AI for commercial applications? A: Technically yes, but the uptime and limited model selection make it a poor choice. Consider it a testing tool, not a production API provider.

Pricing breakdown

发现AI offers competitive pricing for developers. Here's the breakdown:

Supported models

3 models across major vendors.

Frequently asked questions

Should you use 发现AI?

New users wanting to test with minimal commitment