Every developer building with AI eventually hits the same wall: the official API for a frontier model is either too expensive to run at scale, rate-limited into uselessness, or both. Claude and GPT-6 class models routinely charge $10 to $50 per million output tokens once you're on the flagship tier, and if you're a solo developer or a small team, that bill adds up faster than most side projects can justify.
What's changed in 2026 is that you no longer have to choose between "expensive but official" and "sketchy reverse-engineered access." A real market of legitimate gateways, discount routers, and GPU-rental platforms has grown up around the big three (Claude, GPT, and DeepSeek), and some of them genuinely cut your bill by 80 to 90 percent without touching a shared account or a scraped session token.
I went through the pricing pages, rate limits, and fine print of eleven platforms that actually matter right now, from unified gateways that proxy official APIs at a discount, to the cheapest way to run DeepSeek in production, to renting your own GPU when you've outgrown per-token billing entirely. Here's what's actually worth your API key in 2026.
| Platform | Type | Claude / GPT Access | Starting Price | Free Tier |
|---|---|---|---|---|
| Router One | Discount gateway | Yes, both | Pay-as-you-go, from $5 top-up | No permanent free tier |
| CodeCraft API | Flat-fee gateway | Yes, both | $1.20/mo (30M tokens) | 1M tokens/month, no card |
| OpenRouter | Pass-through aggregator | Yes, both | Pay-as-you-go, provider rates | Dozens of free models |
| Top Tools AI | Flat-fee gateway (newer) | Not independently confirmed | Check live pricing page | Not independently confirmed |
| Novita AI | Serverless + GPU cloud | Open models only | From about $0.01/1M | Free credits on signup |
| RunPod | GPU cloud, self-hosted | Any model you deploy | From $0.27/GPU-hour | No standing free plan |
| Groq | Speed specialist | Open models only | From $0.05/1M input | Yes, no card needed |
| DeepSeek (official) | Direct API | DeepSeek only | From about $0.30/1M input | No free tier |
| Together AI | Open-model host | Open models only | From about $0.05/1M | No permanent free tier |
| Fireworks AI | Open-model host | Open models only | Varies by model | $1 one-time credit |
| DeepInfra | Open-model host | Open models only | From about $0.09/1M | No permanent free tier |
Router One proxies the official APIs and posts rates up to 90% below list price, no shared accounts, no reverse-engineered access.
☑️ See Router One's Live Pricing
The Top 6 Picks: Best Overall Value
These six are the ones I'd point any developer to first, whether you want a discounted gateway to real Claude and GPT, the widest possible model selection, a flat-fee alternative worth testing, or raw GPU capacity to run your own stack.
1. Router One (best discount on official Claude and GPT rates)
🔀 Discount Gateway🇨🇳 China-friendly billing
Router One is an OpenAI-compatible and Anthropic-compatible gateway that sits in front of GPT, Claude, Gemini, and Grok. The pitch is blunt: posted rates run up to 90% below the official list price on select models, with the discount level shown per model on its catalog page. You keep your existing SDK, just swap the base URL and the API key, and Claude Code or Codex CLI both work by changing two environment variables.
Billing is split two ways. Wallet pay-as-you-go bills every token at the posted rate (56 priced models ranging from $0.113 to $40 per million tokens at last check), with top-ups starting around $5 via card, Alipay, or USDT/USDC. Or you subscribe: Pro at $20.19/month, Max at $47.99/month, and Ultra at $149/month, each bundling a monthly request allowance across standard, mid-tier, premium, and flagship model tiers, with wallet balance covering anything outside the plan. The Alipay and stablecoin options matter more than they sound, they're a real lifeline for developers outside the US who get stuck at the "add a US card" step on the official Anthropic or OpenAI billing pages.
- Genuine discount on real Claude and GPT models, not a downgrade
- Automatic fallback to another route on retryable provider errors
- Alipay and crypto payment options
- No permanent free tier
- Discount percentage varies by model, so check the catalog before assuming 90%
2. CodeCraft API (best flat-rate plan for hobbyists and side projects)
💳 Flat monthly billing🆓 Real free tier
CodeCraft API takes a different approach to the same problem. Instead of pricing each model separately, it sells a flat monthly token allowance that works across all 31 models in its catalog, according to its published model list, that includes flagship-tier options alongside cheaper ones. You don't pick a model tier when you subscribe, you pick a token budget, and every model on the platform is available from the Free plan up.
The free plan gives 1M tokens a month with no card required, which is enough to build and test a real integration before spending anything. From there it's Starter at $1.20/month (30M tokens), Basic at $3.50/month (100M tokens), Pro at $5.75/month (200M tokens, marked as best value), Scale at $11.50/month (500M tokens), and Unlimited at $50/month with no monthly cap at all. Run out mid-cycle and requests fall back to per-token billing against your balance instead of failing silently, you get a clear 402 error with an empty balance rather than a surprise invoice. Payment goes through Paddle, Binance Pay, or crypto, and there's a 7-day money-back guarantee on paid plans.
- Genuinely free tier with no card, not a time-limited trial
- One flat bill regardless of which model you call
- Cheapest paid entry point on this list ($1.20/month)
- Token allowance is shared across every model, heavy users of the priciest models will burn through it faster
- Newer platform than OpenRouter, smaller track record
3. OpenRouter (the reference standard, widest model selection)
🌐 Largest catalog🆓 Free models includedOpenRouter is the platform every other unified gateway on this list gets compared to. It routes to 500+ models across 80+ providers behind one OpenAI-compatible API, covering Claude, GPT, Gemini, DeepSeek, Llama, and Grok, plus a long tail of smaller open-weight models. For most popular models, pricing sits at or very close to the official provider rate, there's no meaningful discount the way Router One offers, but the tradeoff is unmatched selection, automatic failover between providers serving the same model, and dozens of genuinely free models with light rate limits for prototyping.
If you don't need a discount and just want the biggest possible menu with one integration, this is still the safest default. I'd treat it as the baseline you compare every other gateway against, not necessarily the cheapest option on this page.
- Largest model catalog of any gateway here
- Mature, widely used, extensive documentation
- Free models available with no spend required
- No real discount on Claude or GPT list prices
- Free-tier rate limits are tight (20 requests/minute on free models)
4. Top Tools AI (newer flat-fee pick worth testing)
💳 Flat-fee access🆕 Newer entrant
Top Tools AI is one of the newer names chasing the same flat-fee, unlimited-access model that CodeCraft API popularized. Per its own site, the pitch is one subscription covering a catalog that includes DeepSeek, GLM, MiniMax, and other open-weight models, wired through an OpenAI-compatible endpoint documented at top-tools-ai.com/docs, so pointing your existing code at it is normally just a base-URL change.
I'll be straight with you on this one: the platform is new enough that independent coverage is still thin, and I wasn't able to verify its exact pricing tiers, token caps, or full model list (including whether Claude or GPT are actually included) from public sources at the time of writing. That's not a red flag by itself, plenty of good tools start this way, but it does mean you should read the live pricing page yourself and test it against a small, non-critical workload before pointing production traffic at it.
- Same flat-fee, unlimited-style pitch as CodeCraft API, worth comparing the two directly
- OpenAI-compatible endpoint with public documentation
- Covers popular open-weight models like DeepSeek, GLM, and MiniMax
- New platform, thin independent track record so far
- Exact pricing tiers and full model list weren't independently verifiable at the time of writing, confirm directly before budgeting
5. Novita AI (cheapest entry point plus GPU rental in one account)
🏭 Serverless + GPU cloud🎬 Image and video tooNovita AI covers more ground than a typical inference API. It's a serverless cloud for 200+ mostly open-weight models (Llama, Qwen, DeepSeek, GLM, gpt-oss) with input pricing starting around $0.01 to $0.05 per million tokens, but the same account also gives you dedicated endpoints, an agent sandbox, and straight GPU rental if you'd rather run your own stack. It also covers image and video generation models like FLUX, which none of the other open-model hosts on this list bother with. An introductory 50% discount on batch inference for supported models sweetens things further for anything that doesn't need a live response.
The appeal here is growth path in one place: start on the cheap serverless API, and if you outgrow it, rent GPU capacity from the same dashboard instead of migrating to a different platform entirely.
- Genuinely low starting price per token
- Serverless API and raw GPU rental under one account
- Also covers image and video models
- Open-weight models only, no Claude or GPT
- Broad catalog means quality varies more between models
6. RunPod (cheapest raw compute for self-hosted DeepSeek or Llama)
🖥️ GPU cloud⚙️ Self-hosted
RunPod doesn't sell you access to Claude, GPT, or even a hosted DeepSeek endpoint, it sells you the GPU. You deploy your own container (typically running vLLM or a similar inference server) on top of it, which means more setup work but also the lowest possible cost per token once you know your throughput. Pods (dedicated instances) start around $0.27 an hour for something like an RTX A5000 and climb to $7 to $8 an hour for H100-class hardware. Serverless bills per second of active execution with scale-to-zero, so you pay nothing while no request is running, useful for bursty traffic where an always-on Pod would sit idle most of the day. RunPod claims 30 to 95% savings over AWS or GCP for variable AI workloads, with zero egress fees on top.
There's also an "instant endpoints" option for pre-deployed popular models if you don't want to manage your own container from day one, but the real reason to pick RunPod is when you've already sized your workload and know that renting the GPU directly beats paying anyone's per-token markup.
- Lowest cost per token at real scale, once you optimize for it
- Full control over the model, quantization, and serving stack
- Zero egress fees, per-second billing on Serverless
- You manage your own inference stack, this is not a drop-in API
- No standing free GPU plan
- Serverless can cost far more than a Pod for sustained, always-on traffic
5 More Specialists for the Cheapest DeepSeek and Open-Model Access
None of the five platforms in this section will give you Claude or GPT access, they're built entirely around DeepSeek and other open-weight models. What they trade in brand-name access, they make up for in raw price per token, and for a huge share of production workloads (classification, summarization, RAG, coding assistants) an open model at a tenth of the price does the job just as well.
7. Groq (fastest inference, best genuinely free tier)
⚡ Speed specialist🆓 No card requiredGroq doesn't build models, it builds custom LPU chips that serve open-weight models absurdly fast, often 500 to 1,000+ tokens per second on models like Llama 3.3 70B or GPT-OSS 20B, well beyond what typical GPU-based APIs hit. The free tier needs no credit card and gives you real daily quotas across models like Llama 3.1 8B, Llama 3.3 70B, GPT-OSS, and Qwen3, along with Whisper for audio transcription. Add a card with zero minimum spend and you unlock roughly 10 times the free rate limits plus a 25% discount on token pricing, which starts around $0.05 per million input tokens on the cheapest models.
The catch most people miss: rate limits, not token price, are what actually constrain you here. They apply per organization, not per API key, so spinning up five keys doesn't multiply your quota.
- The fastest inference on this entire list by a wide margin
- Real no-card free tier, useful beyond a quick test
- Built-in Whisper audio transcription
- Open-weight models only, no Claude or GPT
- Rate limits (not price) are the real bottleneck on the free tier
8. DeepSeek (official API, the cheapest way to get frontier-level reasoning)
🧠 Direct from the sourceIf your workload can run on DeepSeek's own models, the official API is genuinely hard to beat on price. As of this update, DeepSeek's flagship-tier model runs in the $0.30 to $1.20 per million token range for input and output, and cached input (a repeated system prompt or few-shot block) is billed at a steep discount over a fresh input, in some configurations close to 10 times cheaper. There's no monthly plan, no free tier, and no Claude or GPT access here, this is a single-provider, pay-per-token endpoint, OpenAI-compatible so switching your base URL and model name is usually the only code change needed.
DeepSeek has also flagged that pricing could rise as demand grows, so if a chunk of your budget depends on today's rate, keep an eye on the official pricing page rather than assuming it's fixed.
- No markup, straight from the model's own infrastructure
- Aggressive cache-hit discount rewards repeated system prompts
- 1M-token context on the flagship model
- DeepSeek models only, no Claude or GPT
- No free tier to test with
9. Together AI (best for fine-tuning open models)
🏭 Open-model host🛠️ Fine-tuning
Together AI hosts 200+ open-weight models behind a serverless, per-token API, with pricing that generally lands between $0.05 and $15 per million tokens depending on model size, plus dedicated GPU endpoints and rented clusters for teams that want more control. What sets it apart from the others in this section is fine-tuning: LoRA training on Llama, Qwen, or Mistral runs roughly $8 to $12 per million training tokens, with the resulting fine-tuned model served at standard rates plus a small overhead. A Batch API gives an automatic 50% discount for workloads that can tolerate a 24-hour turnaround.
There's no permanent free tier and no free trial credit at the time of writing, you'll need a minimum card purchase to get started, which is worth knowing before you plan a weekend prototype around it.
- Real fine-tuning pipeline, not just inference
- Dedicated endpoints and clusters if you outgrow serverless
- Batch API cuts async workload costs in half
- No free tier, minimum card purchase to start
- Open-weight models only
10. Fireworks AI (enterprise-grade reliability for open models)
🏭 Open-model host🖥️ On-demand GPUs
Fireworks splits its business into serverless per-token inference and on-demand GPU rental, and it's the platform on this list most likely to show up in a production stack that already cares about uptime SLAs. Serverless pricing is set per named model or by parameter-size tier, with a separate "Priority" tier at roughly 1.25 to 1.5 times the standard rate for lower queue times. On-demand GPUs run from about $7 to $12 an hour depending on whether you're renting an H100, B200, or B300. There's no ongoing free tier, just a one-time $1 credit to get a feel for the API before you add a payment method.
- Priority tier available when latency matters more than cost
- On-demand GPU rental alongside serverless, useful as you scale
- Cached input billed well below fresh input
- Only a one-time $1 credit, no lasting free tier
- Pricing is split across named-model and size-tier rate cards, worth reading carefully before budgeting
11. DeepInfra (rock-bottom price if you only need DeepSeek)
🏭 Open-model host💰 Lowest DeepSeek rate
DeepInfra is worth a look specifically because of how aggressively it prices DeepSeek's smaller, faster variant, around $0.09 to $0.30 per million input tokens and $0.18 to $1.20 output at recent checks, alongside GLM, Kimi, Qwen, and Llama models. It also rents dedicated GPUs starting around $0.89 an hour for teams that want a private instance instead of a shared serverless endpoint. There's no permanent free tier, and it's worth flagging that DeepInfra's pricing has moved noticeably within 2026, so this is exactly the kind of rate you should re-check on their live pricing page before locking in a monthly budget.
- Among the cheapest DeepSeek access available anywhere
- Dedicated GPU rental alongside serverless
- Cached-input pricing on select models
- No free tier
- Pricing has changed more than once in 2026, verify before budgeting
How to Pick the Right One for Your Project
Three genuinely different approaches are mixed into this list, and picking the wrong one wastes more money than picking the wrong platform within a category.
✅ Unified gateways (Router One, CodeCraft API, OpenRouter)
- Fastest to integrate, one key, one SDK
- Real Claude and GPT access, sometimes at a discount
- No infrastructure to manage
⚠️ GPU cloud (RunPod)
- Cheapest at real scale, but only after setup work
- You own the reliability, scaling, and updates
- Wrong choice for a weekend prototype
If you need actual Claude or GPT output and want to spend less doing it, start with Router One or CodeCraft API rather than a proprietary key straight from Anthropic or OpenAI. If your workload can run on an open model like DeepSeek, Llama, or Qwen, skip the gateway markup entirely and go to DeepSeek's own API, DeepInfra, or Groq depending on whether you're optimizing for price or speed. And if you're past a few million tokens a day and the per-token math stops making sense, that's your cue to look at RunPod and self-host.
If you're weighing AI APIs because you're planning to turn a side project into real income rather than just a demo, our guide on how to make money online with AI walks through the business side of that decision.
Full Pricing and Feature Comparison
| Platform | Pricing Model | Notable Models | Payment Options |
|---|---|---|---|
| Router One | Wallet or subscription ($20.19 to $149/mo) | Claude, GPT, Gemini, Grok | Card, Alipay, USDT/USDC |
| CodeCraft API | Flat monthly token plans | 31 models incl. Claude, GPT | Paddle, Binance Pay, crypto |
| OpenRouter | Pay-as-you-go, provider rates | 500+ models, 80+ providers | Card, crypto |
| Top Tools AI | Flat-fee, unlimited-style (tiers unconfirmed) | DeepSeek, GLM, MiniMax | Not confirmed, check site |
| Novita AI | Pay-per-token plus GPU rental | Llama, Qwen, DeepSeek, FLUX | Card, crypto |
| RunPod | Per-second/per-hour GPU rental | Whatever you deploy yourself | Card |
| Groq | Free tier plus pay-per-token | Llama, Qwen, GPT-OSS, Whisper | Card (optional) |
| DeepSeek (official) | Pay-per-token, cache-hit discount | DeepSeek flagship and flash | Card |
| Together AI | Pay-per-token, fine-tuning add-on | Llama, Qwen, Mistral, DeepSeek R1 | Card |
| Fireworks AI | Per-token plus on-demand GPU | GLM, Qwen, DeepSeek, Kimi | Card |
| DeepInfra | Pay-per-token, dedicated GPU option | DeepSeek, GLM, Kimi, Llama | Card |
Best genuinely free tier: CodeCraft API (1M tokens/month, no card)
Widest model selection: OpenRouter
Best serverless-to-GPU growth path: Novita AI
Fastest inference, free to start: Groq
Best for scaling into self-hosting: RunPod
Cheapest DeepSeek specifically: DeepInfra or DeepSeek's own API
Best for fine-tuning open models: Together AI
My Final Verdict
If you only take one thing from this list: stop paying full official price for Claude and GPT if your use case tolerates a routed connection instead of a direct one. Router One and CodeCraft API both get you there through legitimate, official-passthrough infrastructure, not the shady reverse-engineered resellers that show up when you search "cheap Claude API" and quietly warn you about their own competitors mixing in shared accounts and swapped models.
For everything that doesn't strictly need Claude or GPT, and honestly, that's most classification, summarization, and internal-tool workloads, DeepSeek's own API or DeepInfra will save you the most money with the least complexity. And once you're running enough volume that the per-token math starts to hurt regardless of provider, RunPod is where that math flips back in your favor.
Frequently Asked Questions
What's the cheapest way to access Claude's API?
For genuine Claude access at a discount off Anthropic's official rate, Router One is the most transparent option on this list, it posts a per-model discount percentage rather than a vague "up to X% off" claim. If you don't need a discount and just want a generous free allowance to start, CodeCraft API's free tier includes Claude models at no cost up to 1M tokens a month.
Can I really get GPT and Claude access for less than the official price?
Yes, through legitimate channels. Gateways like Router One route your request through the official Anthropic and OpenAI infrastructure and negotiate or absorb part of the margin, so you're still getting the real model, just at a lower rate than billing Anthropic or OpenAI directly. That's different from the reverse-engineered resellers that share accounts or silently downgrade the model, which is a real risk in this space and worth avoiding.
Is DeepSeek's API actually as good as GPT and Claude for less money?
For a lot of workloads, yes, DeepSeek's flagship model benchmarks close to GPT and Claude on reasoning and coding tasks at a fraction of the price. It's not a universal replacement, Claude and GPT still have an edge on certain agentic and tool-use workflows, but for classification, summarization, and most chatbot use cases, DeepSeek is a legitimate cost-saving swap.
Are these AI API resellers and routers safe to use for production apps?
The more established platforms covered here (Router One, CodeCraft API, OpenRouter) are legitimate businesses with public pricing, documentation, and terms of service, and they route through official provider infrastructure rather than shared or scraped accounts. Newer entrants like Top Tools AI are worth testing on a small workload first simply because they have less of a track record. Either way, any third-party gateway adds a dependency, so check each platform's data-retention policy and uptime history before routing sensitive production traffic through it.
Do I need a US credit card to pay for these platforms?
Not necessarily. Router One accepts Alipay and USDT/USDC stablecoins alongside cards, and CodeCraft API accepts Binance Pay and crypto in addition to Paddle. That's genuinely useful if you've hit the "add a US card" wall on Anthropic's or OpenAI's own billing pages.
What's the difference between a unified gateway and renting my own GPU?
A gateway like Router One or OpenRouter is a hosted API, you send a request, you get a response, someone else runs the servers. Renting a GPU on RunPod means you deploy and manage your own model and inference server, which is more work but ends up cheaper per token once your traffic is high and predictable enough to justify the setup.
Is there a genuinely free AI API with no credit card required?
Yes. CodeCraft API gives 1M tokens a month free with no card, and Groq's free tier also needs no card, though it's governed by rate limits rather than a monthly token cap. Both are real enough to build and test a working integration on before you spend anything.
Which platform is best for a solo developer just starting out?
Start with CodeCraft API's free plan to prototype against real models including Claude and GPT without a card, then decide whether you need Router One's discount once you have actual usage numbers to budget against. If your project turns into something you're building a business around rather than a demo, it's worth reading how all-in-one AI creative platforms handle the same cost problem for image and video generation, since that pricing logic carries over.
