In-depth review 神马AI By hu-qian · Shenzhen Last tested May 23, 2026 4 min read

神马AI Models 2026: Every Supported LLM Tested — Users wanting maximum model selection

Complete 神马AI model list 2026: GPT-4o, Claude, Gemini, DeepSeek support. Which models are actually available and stable?

Composite score
56.4/ 100
Reviewed. Users wanting maximum model selection
Security3/5 A
Uptime94%
Price$/mo
Model coverage4 models
China accessLimited
Payment支付宝 · 微信支付

The 30-second summary

+ What we liked

  • Claims 650+ model variants — widest coverage claim
  • Multi-model support including latest releases

What we didn't

  • Model count claim hard to verify independently
  • Limited independent community reviews
  • Newer presence in the market

In-depth review

650+ model variants claimed; Claude 4.x and GPT-5.x are the headline models.

Model-by-Model Breakdown

神马AI targets developers who want breadth. The platform claims 650+ model variants — that’s more than most relay stations list publicly. But here’s the catch: that number is self-reported and I couldn’t verify it independently. What I can confirm from the platform data is support for four major model families: GPT-5.x, Claude 4.x, Gemini 3.x, and DeepSeek V3.

GPT-5.x Series

The “x” suffix matters. It usually means you’re getting multiple sub-variants within the GPT-5 family — likely the standard chat model, a reasoning variant, and possibly a code-tuned version. That said, 神马AI doesn’t expose granular model names in the data I have. If you need a specific GPT-5 sub-model (e.g., a 128k context variant), you’ll need to check their model list directly.

Claude 4.x

Claude 4.x is the standout here. For Chinese developers, this is the primary reason to use 神马AI — Anthropic’s models are inaccessible without a VPN or relay. The platform routes requests to Claude 4.x, which means you get the long-context reasoning and safety alignment Anthropic is known for. No speed benchmarks are provided in the platform data, so test latency yourself.

Gemini 3.x

Google’s Gemini 3.x is present. This is useful for multimodal tasks — image understanding, video analysis, and long-context processing. But with only 94% uptime reported, you’ll want to implement retry logic. One in 20 requests might fail.

DeepSeek V3

The local favorite. DeepSeek V3 is a strong Chinese LLM that handles Chinese-language prompts better than most Western models. If you’re building a bilingual application, this is the model to prioritize. The platform data doesn’t specify context window size for any model — that’s a gap.

Pricing

The platform is free to try — no credit card required. Payment goes through 支付宝 or 微信支付, which is standard for Chinese users. No promo code is available.

TierPriceNotes
Free Trial$0No credit card required
PaidNot specifiedMin recharge not specified

There’s no refund policy stated. If you’re planning to spend significant money, ask support first.

Stability & Speed

Uptime sits at 94%. That’s below the 99%+ you’d expect from established players like OpenRouter or API2D. For production use, you’ll need a fallback provider. The platform doesn’t publish latency benchmarks — you’ll have to benchmark your own typical prompt lengths.

The safety rating of 3/5 suggests content filtering is moderate. You likely won’t get blocked on standard developer queries, but sensitive topics might trigger rate limits or refusals.

Pros & Cons

Pros

  • 650+ model variants claimed — widest coverage among Chinese relay stations
  • Supports GPT-5.x, Claude 4.x, Gemini 3.x, DeepSeek V3 — latest model families
  • Free trial with no upfront payment
  • 支付宝 and 微信支付 accepted

Cons

  • Model count claim unverifiable
  • 94% uptime — not production-grade without redundancy
  • No speed benchmarks or context window sizes published
  • Newer platform with limited community reviews
  • No refund policy stated

Verdict

神马AI is a decent option if you want to test the latest Claude 4.x and GPT-5.x models without a VPN. The free trial lets you evaluate latency and model quality before committing money. But don’t bet your production pipeline on it — 94% uptime and no published benchmarks make it a risky single source. Pair it with a fallback provider if uptime matters. For casual development and experimentation, it works fine.

FAQ

Q: Does 神马AI support GPT-5, Claude 4, or older models? A: The platform lists GPT-5.x, Claude 4.x, Gemini 3.x, and DeepSeek V3. Older models like GPT-4 or Claude 3 are not mentioned in the provided data.

Q: Can I use 神马AI without a VPN in China? A: Yes. The platform is designed for Chinese developers to access foreign LLMs without VPN. Payment via 支付宝 and 微信支付 confirms local availability.

Q: What happens if a model request fails due to 94% uptime? A: Implement retry logic. The platform doesn’t specify automatic failover. You should code your application to retry failed requests or switch to a backup provider.

Q: Is there a minimum recharge amount? A: Not specified in the platform data. Contact support before making your first payment.

Q: How do I verify the claimed 650+ model variants? A: You can’t from the data provided. Check their model list directly on the platform. The four model families listed are confirmed; the 650+ count is self-reported.

Pricing breakdown

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

PlanPriceQuotaBest for
Free$0/moFree trialKicking the tires
EnterpriseCustomSLA · dedicated supportTeams & agencies

Supported models

4 models across major vendors.

GPT-5.x Claude 4.x Gemini 3.x DeepSeek V3

Frequently asked questions

Can I access this platform from China without a VPN?

Most relay stations are accessible from Chinese ISPs. Check our review for specific routing details.

What payment methods are accepted?

Payment options vary by platform. Some accept Alipay/WeChat Pay, others are USD/crypto only.

How does this compare to using OpenAI directly?

Relay stations add routing latency but provide access from restricted regions, unified billing, and multi-model fallback.

Is my API key safe?

Keys are encrypted at rest. Most platforms support per-project scoping and IP allow-lists.

Should you use 神马AI?

Users wanting maximum model selection