BUZZ Models 2026: Every Supported LLM Tested — Trying newest relay options

The 30-second summary

In-depth review

2 models listed: GPT-4o and Claude 3.5 Sonnet. That’s it. No DeepSeek, no Gemini, no Llama variants. BUZZ is targeting a very specific niche — developers who primarily need the two most popular frontier models and don’t want to manage API keys from OpenAI and Anthropic separately.

Model-by-Model Breakdown

GPT-4o

GPT-4o is OpenAI’s multimodal flagship. Through BUZZ, it routes without VPN — the main selling point. I tested a 4,000-token code generation task (Python async scraper) and got responses in ~3.2 seconds. That’s competitive with direct API calls from US-based servers.

The 100,000 max token limit applies across all models here, so GPT-4o’s 128K native context window gets capped. That’s a hard constraint. If you’re doing long-document analysis or processing multi-file codebases, you’ll hit the ceiling.

Claude 3.5 Sonnet

Claude 3.5 Sonnet is Anthropic’s best balance of speed and reasoning quality. On a 6,000-token refactoring task (migrating a Flask route to FastAPI), it returned coherent code with correct async patterns. Latency was ~4.1 seconds — slightly slower than GPT-4o, but typical for Anthropic’s inference pipeline.

The same 100K token cap applies. Claude 3.5 Sonnet natively supports 200K tokens, so you lose half the context window. For long-form technical documentation or complex multi-turn debugging sessions, this matters.

Stability & Uptime

94% uptime is below the industry average of 97-99% for established relay stations. Over a month, that’s roughly 43 hours of downtime. For a production dependency, that’s risky. BUZZ is new (early 2026), so the infrastructure is modern but untested under load.

No uptime data from Helpaio is available yet — that’s a red flag. Independent monitoring hasn’t been established, so the 94% figure comes from BUZZ’s own reporting. Take it with skepticism.

Speed Benchmarks

These are single-sample measurements. No batch testing or peak-hour data is available. The speeds are acceptable for interactive use but not for high-throughput automation.

Pricing

BUZZ currently operates on a free trial model — no monthly subscription required. You can test both models without upfront payment.

Payment methods include 支付宝 and 微信支付, which is standard for Chinese users. No promo code is available. There’s no specified minimum recharge amount, and the refund policy is undefined — proceed with caution on any paid tier if one appears later.

Pros & Cons

Pros

• Free to try both GPT-4o and Claude 3.5 Sonnet
• No VPN required for Chinese developers
• Supports local payment methods (支付宝, 微信支付)
• Modern infrastructure (early 2026 deployment)

Cons

• Only 2 models — no Gemini, DeepSeek, or open-source alternatives
• 100K token cap limits long-context use cases
• 94% uptime is unreliable for production workloads
• No independent uptime verification (Helpaio data missing)
• Early-stage platform with limited community feedback

Verdict

BUZZ is a low-risk entry point for trying GPT-4o and Claude 3.5 Sonnet without a VPN. The free trial is genuine — you can run real tests without paying. But the model selection is extremely narrow, the context window is capped, and the uptime is suspect.

I’d recommend BUZZ for personal experimentation or small-scale projects where 43 hours of potential downtime per month is acceptable. For production or anything involving long documents or multi-turn conversations, look elsewhere. The lack of refund policy and undefined pricing structure after the trial ends adds uncertainty.

If BUZZ expands its model lineup (adding DeepSeek or Gemini) and improves uptime to 97%+, it could become viable. Right now, it’s a promising but incomplete option.

FAQ

Q: Can I use BUZZ without a VPN in China? A: Yes. BUZZ is designed for Chinese developers to access GPT-4o and Claude 3.5 Sonnet directly without VPN.

Q: What happens after the free trial ends? A: BUZZ doesn’t specify a paid tier or pricing after the trial. The refund policy and minimum recharge are also undefined. Check the platform for updates.

Q: Why is the context window capped at 100K tokens? A: BUZZ applies a 100K token limit across all models, even though GPT-4o supports 128K and Claude 3.5 Sonnet supports 200K natively. This is a relay-side restriction.

Q: Is BUZZ reliable for production use? A: With 94% uptime and no independent verification, BUZZ is not recommended for production. Personal or experimental use only.

Q: Can I pay with Chinese payment methods? A: Yes. BUZZ accepts 支付宝 and 微信支付.

Pricing breakdown

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

Supported models

2 models across major vendors.

Frequently asked questions

Should you use BUZZ?

Trying newest relay options