NanoGPT Review: Pricing & Comparison
A crypto-first aggregator of 1,189 models: no KYC and no email required, with referral terms spelled out in the docs
Last verified: 2026-10-15 · Visit official site →
A crypto-first multi-model aggregator
NanoGPT (nano-gpt.com) sits in OpenRouter’s category: a chat UI plus image/video/audio generation plus an OpenAI-compatible API, backed by prepaid balance with an optional subscription. The site says pay-as-you-go with no subscription required, and claims one OpenAI-compatible API covering 1,189 text, image, video and audio models — the widest span of any aggregator covered on this page.
Prices are published per model, with some open models well below official rates:
Selected pricing (per 1M tokens, input/cache-read/output, USD):
- DeepSeek V4 Flash 0731: $0.05 / $0.01 / $0.16 (1M context)
- GLM 5.3 Flash: $0.10 / $0.03 / $0.30
- DeepSeek V4 Flash: $0.14 / $0.0028 / $0.28
- Kimi K2.6: $0.50 / $0.13 / $2.60
- GLM 5.3: $0.60 / $0.20 / $1.10
- DeepSeek V4 Pro: $1.10 / $0.11 / $2.20
- Gemini 4 Argon: $2.00 / $0.10 / $10.00
Minimum top-ups: $0.10 in crypto or $1 by card, and crypto payments earn a 3% balance bonus across 29 supported cryptocurrencies (including Monero, Bitcoin, Nano, USDC and USDT). The FAQ states plainly that no KYC or ID check is required and that you can use the service without registering an email — which is the biggest structural difference from a typical relay.
Referrals: detailed, including the exclusions
Its invitation programme is the most specific of the vendors added in this round: friends get 5% off, and the referrer earns 10% of the invitee’s usage charges plus 5% of paid subscriptions, credited daily and payable in USD or Nano. What matters more is that it also states what earns nothing: “requests billed with provider-selection pricing or markup get no referral discount or commission. This includes Caching mode (caching: true or a :caching suffix) and pinned providers,” while automatic routing and automatic provider caching stay eligible.
That exclusion is material — if you or your invitees habitually pin providers or enable caching, real earnings will be well below the advertised 10%.
Risks you take on yourself
No SLA, no availability number. There is no uptime or latency commitment anywhere on the site. As a crypto-first resale aggregator, model provenance, upstream quota and rate-limit policy are all opaque, which means there is no guarantee that a given model will not slow down or disappear tomorrow.
The catalogue includes experimental entries, and models get retired. The site explicitly flags items such as “GLM 5.3 Uncensored — may show unusual behavior or inconsistent response quality”, and the changelog logs retirements (Sora 2 Retired on 2026-10-14). The price table also lists a “Gemini 4 Argon” entry; as of our own September 2026 verification of Google’s Gemini line-up, no Gemini 4 entry exists in the official catalogue, so third-party naming like this should be checked before integrating.
Great as a testing/fallback channel, risky as a primary. No KYC, a very low entry barrier, enormous coverage and pay-as-you-go pricing make it well suited to comparative testing and multi-model experiments. Pinning production traffic to a specific model ID, however, means accepting that there is no SLA.
Information verified 2026-10-15. Pricing, payment methods, referral terms and the model list reflect what nano-gpt.com, its API docs and its FAQ displayed on that date.
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Quick facts
| Pricing model | Prepaid balance billed per token (per 1M tokens, input/cache-read/output, USD): DeepSeek V4 Flash 0731 $0.05/$0.01/$0.16, GLM 5.3 Flash $0.10/$0.03/$0.30, Kimi K2.6 $0.50/$0.13/$2.60, GLM 5.3 $0.60/$0.20/$1.10, DeepSeek V4 Pro $1.10/$0.11/$2.20; the site states pay-as-you-go with no subscription required; minimum top-up is $0.10 in crypto or $1 by card, and crypto payments earn a 3% balance bonus |
|---|---|
| Model coverage | The site claims one OpenAI-compatible API covering 1,189 text, image, video and audio models, including OpenAI (GPT-4o mini, the o1/o3 line), Anthropic (Claude Opus 4.8/5, Sonnet, Fable), Google (Gemini 4 Argon), DeepSeek V3.2/V4 Flash/V4 Pro/V4.1 Flash, Zhipu GLM 4.7/5.2/5.3, Moonshot Kimi K2.5/K2.6, the Qwen3 line, Mistral and MiniMax, plus a large catalogue of community and uncensored/abliterated models |
| Latency / SLA | No availability percentage or latency figure is published anywhere on the site; the subscription page is client-rendered, so specific tiers and prices could not be retrieved |
| Mainland direct connect | Proxy required (overseas site; no KYC or email needed, but network reachability was not verified) |
| Best for | Developers / Fallback / backup |
| Referral program | The invitation programme states that friends get 5% off while the referrer earns 10% of the invitee's usage charges plus 5% of paid subscriptions, credited daily and payable in USD or Nano; the docs explicitly exclude requests billed with provider-selection pricing, pinned providers and caching mode from earning commission. |
Pros
- The widest span of anything here: 1,189 models, from Claude, Gemini and GPT to hundreds of community and uncensored models, all behind one OpenAI-compatible endpoint, with per-model prices published — some open models are dramatically cheaper than official rates (DeepSeek V4 Flash 0731 at $0.16/1M output)
- A referral programme with concrete, documented terms (10% of usage plus 5% of subscriptions, credited daily, payable in USD or Nano), and the exclusions are stated rather than buried
- Verifiable privacy posture: the FAQ states no KYC or ID check is required and that you can use it without an email account, with 29 crypto options, a 3% crypto bonus and a $0.10 minimum
Cons
- It is fundamentally a crypto-first resale aggregator, so model provenance and upstream quota are opaque, and there is no SLA or uptime figure anywhere
- The referral exclusions (caching mode and pinned providers earn nothing) mean real earnings are well below the headline 10%
- The catalogue includes entries flagged as experimental (for example GLM 5.3 Uncensored, which may show unusual behaviour or inconsistent quality), and models do get retired (Sora 2 Retired was logged on 2026-10-14), so production traffic pinned to a specific model ID carries risk
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