302.AI Review: Pricing & Comparison

How much does it matter that balances never expire

Most SaaS subscriptions work the same way: pay monthly, and whatever’s unused resets to zero at month’s end — use it or lose it. Many developers end up paying for credit they never use, or scrambling to burn it down at the last minute, and both are real costs.

302.AI does the opposite: pre-paid credits, with a balance that stays valid forever and never has a reset date. Top up $5 and use it whenever over the next year; top up today and use it next year — either way is fine.

For users with unpredictable call volume — individual developers who only hammer the API on weekends, students, teams working in project phases — this matters more in practice than any discount rate.

Other basics about 302.AI: full coverage across OpenAI/Claude/Gemini/Qwen and more, 40+ ready-to-use AI tools (not just a bare API), zero monthly fee, roughly $5 minimum top-up, mainland direct connect.

Pricing in detail

302.AI uses a pre-paid credit system, with billing logic that passes official rates straight through to credits:

Top-up and credit conversion: roughly $1 = 1 credit, with a minimum top-up of about $5; the balance is valid forever, with no reset date.

Reference pricing for major models (based on 302.AI’s site pricing — actual pricing follows the official site):

Model	Input price (/M tokens)	Output price (/M tokens)	Direct connect
Claude Fable 5	~$10	~$50	✓
Claude Opus 4.8	~$5	~$25	✓
Claude Sonnet 4.6	~$3	~$15	✓
GPT-5.5	See official site	See official site	✓
DeepSeek-chat	$0.3	$1.2	✓
Gemini series	See official site	See official site	✓

302.AI’s pricing overall sits close to, or slightly above, official rates (it’s essentially an “aggregation layer” rather than a “discount layer”) — its core value isn’t the lowest price, but rather one-stop access to every model, plus a balance that never expires, plus zero monthly fee. Compared to a traditional “pay monthly, reset at expiry” model, 302.AI’s model is more cost-effective for users with unpredictable call volume (like individual developers who only use it heavily on weekends).

Worth noting: pricing for some models is only visible after logging into the console — there’s no complete price table on the homepage, and billing transparency is a pain point users frequently complain about.

Model coverage and hands-on testing

One of 302.AI’s core selling points is “the broadest model coverage.” Per 2026 review data:

• OpenAI: GPT-5.5, GPT-4o, the o1/o3 series
• Anthropic: Claude Fable 5, Claude Opus 4.8, Claude Sonnet 4.6, Claude Haiku 4.5
• Google: Gemini 3.5 Flash/Pro and others
• Domestic models: DeepSeek, Qwen, Kimi, and others
• Others: Grok 4.3, Llama 4, Mistral Large 3, and others

Beyond the bare API, 302.AI also offers 40+ ready-to-use AI tools (AI chat, image generation, image processing, video generation, and more), usable through three modes — Robot (apps), Tools, and API — covering use cases from casual users to developers.

In a 2026 comparison review, 302.AI was rated as having “the most model choices, suited to users who need to study multiple models and run broad testing” — a preferred platform for multi-model comparison testing.

Using it day to day

Signup: go to 302.ai and register with an email address; entering a referral code gets you $1 in credit. A minimum top-up of about $5 (check the official site for the exact figure) gets you started. The whole process takes about 5 minutes.

Payment: USD credit cards are supported; check the official site for the latest word on whether Alipay/WeChat are supported. Pay-as-you-go, usable immediately after topping up, with a balance that never expires.

Getting your API key: create one in the console; it’s OpenAI-format compatible (swap in 302.AI’s base_url), and one key gives you access to every model it covers.

AI tool access: beyond API calls, 302.AI also offers web-based tools including AI chat, image generation, and video generation — suited to non-developers using it directly, or developers quickly validating a particular tool’s output.

A pricing-transparency issue: some users report that a complete price table can’t be found on the homepage, and you need to log into the console to see each model’s exact rate — requiring extra time spent checking prices before deciding.

Stability and latency

302.AI supports mainland direct connect with no proxy needed, but the platform hasn’t published specific latency figures or an SLA commitment. In 2026 comparisons against similar platforms, 302.AI didn’t rank near the top of “latency review” lists — it’s positioned as a platform known for model coverage and ease of use rather than latency performance.

For latency-insensitive, irregular-usage scenarios (text writing, content generation, multi-model research comparisons), 302.AI’s stability is generally sufficient. For high-concurrency, low-latency production environments, consider a platform specifically optimized for latency, like 4SAPI.

Who it fits

• Multi-model researchers/students: want a low-cost way to try the full Claude/GPT/Gemini lineup, starting at $5 with a balance that never expires — suited to periodic, learning-oriented use.
• Individual developers with unpredictable usage: weekend-only, high-intensity vibe-coding projects, where a balance that never expires is more cost-effective than a subscription.
• Scenarios that want AI tools, not just a bare API: 40+ ready-to-use tools spanning AI chat to video generation, suited to less technical users.
• Teams that want one-stop access to every mainstream model: no desire to manage accounts across multiple platforms — one account covers every model.

Not a good fit: latency-sensitive real-time businesses; or high-volume call scenarios that need the lowest possible unit price (302.AI’s pricing is close to official rates, with no significant discount).

Head-to-head comparisons

• vs. OpenRouter: both are built around “multi-model one-stop access,” but 302.AI supports mainland direct connect and more AI tools (not just an API); OpenRouter’s model coverage is slightly broader (including more open-source models) with a more active international community, but needs a proxy from mainland China.
• vs. SiliconFlow: SiliconFlow focuses on domestic open-source models, at extremely low prices but without GPT/Claude coverage; 302.AI covers every mainstream model at prices close to official rates, suited to scenarios that need closed-source flagships.

Core advantages in short: 302.AI = full model coverage + a balance that never expires + zero monthly fee + 40+ AI tools — a good choice for scenarios that prioritize convenience over squeezing out the lowest possible price.

Bottom line

302.AI has a clear positioning — it excels as a “one-stop AI resource platform,” competing not on the lowest price but on coverage breadth and ease of use. The “balance never expires + zero monthly fee” model is very friendly to individual developers and students with unpredictable usage. Its main drawbacks are lower pricing transparency (you need to log in to see prices) and less publicly disclosed performance data compared to relays focused on latency optimization. If your core need is “access many AI models at low cost without getting locked into a subscription,” 302.AI is a recommendable option.

If your team also needs coverage of both domestic models (DeepSeek/Qwen) and global flagships (GPT/Claude), FlowBar’s dual domestic-plus-global coverage is also worth comparing — its nodes are overseas and need a proxy, but its pricing model (pay-as-you-go) is similar.

Information verified 2026-08-11. Readers should check the latest official site information and verify each model’s specific pricing before topping up.

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