For a team already juggling DeepSeek, Kimi, Qwen, or other providers, a shared routing layer can be reasonable if it removes duplicated work and the fallback behavior is tested. GPTProto is one implementation of this approach.
Still paying full price for Claude, GPT, Gemini?One unified AI API. Pay less.
200+ AI Models. One API. Up to 30% Cheaper Than Official Pricing. Pay per token, no minimum.
The Same Models.A Smaller Bill.
The current top 10 models by aggregate benchmark score — reasoning, coding and knowledge combined into one number.
Aggregate scoreFrontier tierUpdated as models ship| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $15.84 / $63.36$1.58 cache read · per 1M tokens | −20% | −22% | 200K | → | Try | ||
| $1.80 / $5.40$0.19 cache read · per 1M tokens | −10% | −27% | 1M | → | Try | ||
| $8.00 / $40.00$2.60 cache read · per 1M tokens | −20% | −39% | 1.05M | → | Try | ||
| $4.50 / $22.50$1.44 cache read · per 1M tokens | −10% | −76% | 1M | → | Try | ||
| $9.00 / $45.00$1.28 cache read · per 1M tokens | −10% | −45% | 1M | → | Try | ||
| $3.20 / $16.00$2.40 cache read · per 1M tokens | −20% | −74% | 1.05M | → | Try | ||
| $1.26 / $3.96$0.13 cache read · per 1M tokens | −10% | −24% | 1.31M | → | Try | ||
| $1.20 / $3.60$0.60 cache read · per 1M tokens | −40% | −61% | 500K | → | Try | ||
| $2.70 / $13.50$0.47 cache read · per 1M tokens | −10% | — | 1.05M | → | Try | ||
| $1.60 / $9.60$1.60 cache read · per 1M tokens | −20% | −80% | 1.05M | → | Try |
Character-driven chat at scale — fixed personas, long world-building threads and consistent memory across sessions.
Long contextPersona memoryStable streamingLow cost| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $8.00 / $40.00$0.80 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | ||
| $1.20 / $7.20$0.12 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | 1.05M | → | Try | ||
| $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | ||
| $0.90 / $4.50$0.09 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $4.50 / $22.50$0.45 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $0.12 / $0.30per 1M tokens | −40% | −43% | — | → | Try | ||
| $0.75 / $6.00$0.07 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | ||
| $4.50 / $22.50$0.45 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $9.00 / $45.00$0.90 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | ||
| $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | — | → | Try | ||
| $0.79 / $2.38$0.04 cache read · per 1M tokens | −5% | −10% | 1.05M | → | Try |
Automation built on agent frameworks — coding, office ops, content distribution and scheduled jobs running unattended.
Tool callingOpenAI-compatibleHigh throughputReliable routing| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $0.12 / $0.30$0.03 cache read · per 1M tokens | −40% | −43% | — | → | Try | ||
| $0.16 / $0.65per 1M tokens | −40% | −43% | — | → | Try | ||
| $0.16 / $0.96$0.02 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | ||
| $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | 1.05M | → | Try | ||
| $1.80 / $9.00per 1M tokens | −40% | −43% | — | → | Try | ||
| $1.26 / $3.96$0.23 cache read · per 1M tokens | −10% | −15% | 1.05M | → | Try | ||
| $2.70 / $13.50$0.27 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $0.60 / $3.60$0.06 cache read · per 1M tokens | −20% | −24% | 400K | → | Try | ||
| $6.40per image | −20% | −24% | — | → | Try | ||
| $0.28 / $1.12$0.07 cache read · per 1M tokens | −30% | −34% | 1.05M | → | Try | ||
| $4.50 / $22.50$0.45 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $0.18 / $1.50$0.02 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $0.10 / $0.42$0.05 cache read · per 1M tokens | −30% | −34% | 128K | → | Try | ||
| $0.48 / $0.96$0.10 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | ||
| $1.80 / $9.00$0.18 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $0.75 / $1.50$0.12 cache read · per 1M tokens | −40% | −43% | 1M | → | Try | ||
| $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | ||
| $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | — | → | Try | ||
| $0.79 / $2.38$0.04 cache read · per 1M tokens | −5% | −10% | 1.05M | → | Try | ||
| $8.00 / $40.00$0.80 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try |
Production pipelines for e-commerce shots, game assets, packaging and character sheets.
Reference consistencyBatch async jobsPredictable per-image cost| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $6.40per image | −20% | −24% | — | → | Try | ||
| $0.080per image | −40% | −43% | — | → | Try | ||
| $0.041per image | −10% | −15% | — | → | Try | ||
| $0.040per image | −40% | −43% | — | → | Try | ||
| $0.061per image | −40% | −43% | — | → | Try | ||
| $0.020per image | −40% | −43% | — | → | Try | ||
| $7.60per image | −5% | −10% | — | → | Try | ||
| $7.60per image | −5% | −10% | — | → | Try | ||
| $0.040per image | — | −5% | — | → | Try |
Text-, image- and reference-to-video clips — anime sequels, promo videos and explainer content.
Character consistencyPer-second pricing1080p / 4K output| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $0.45per 5s clip | — | — | — | → | Try | ||
| $0.30per 5s clip | — | — | — | → | Try | ||
| $0.18per 5s clip | — | — | — | → | Try | ||
| $0.095per 5s clip | — | — | — | → | Try | ||
| $0.041per 5s clip | −15% | −19% | — | → | Try | ||
| $0.22per 5s clip | −30% | −34% | — | → | Try | ||
| $0.090per 5s clip | −10% | −15% | — | → | Try |
Scaled content work — novel translation, social posts, lyrics, storyboards and SEO copy.
Multilingual qualityLow batch costFaithful formatting| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $0.18 / $1.50$0.02 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $0.75 / $6.00$0.07 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $1.80 / $9.00per 1M tokens | −40% | −43% | — | → | Try | ||
| $0.12 / $0.30per 1M tokens | −40% | −43% | — | → | Try | ||
| $1.60 / $9.60$0.16 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | ||
| $1.75 / $7.00$0.88 cache read · per 1M tokens | −30% | −34% | 128K | → | Try | ||
| $4.00 / $24.00$0.40 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | ||
| $0.030per image | −15% | −19% | — | → | Try | ||
| $0.90 / $2.88$0.18 cache read · per 1M tokens | −10% | −15% | 205K | → | Try | ||
| $1.26 / $3.96$0.23 cache read · per 1M tokens | −10% | −15% | 205K | → | Try | ||
| $1.20 / $7.20$0.12 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $0.60 / $3.60$0.06 cache read · per 1M tokens | −20% | −24% | 400K | → | Try | ||
| $0.30 / $1.80$0.03 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $0.22per 5s clip | −30% | −34% | — | → | Try | ||
| $7.60per image | −5% | −10% | — | → | Try | ||
| $7.60per image | −5% | −10% | — | → | Try | ||
| $0.040per image | — | −5% | — | → | Try | ||
| $0.15 / $0.50$0.03 cache read · per 1M tokens | — | −5% | 1.31M | → | Try | ||
| $0.090per 5s clip | −10% | −15% | — | → | Try | ||
| —per 1M tokens | — | — | — | → | Try |
Sales scripts, support reply triage, payment-proof OCR and FAQ matching.
Structured outputLow latencyEasy integration| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $1.23 / $9.80$0.12 cache read · per 1M tokens | −30% | −34% | 400K | → | Try | ||
| $0.28 / $1.12$0.07 cache read · per 1M tokens | −30% | −34% | 1.05M | → | Try | ||
| $0.90 / $4.50$0.09 cache read · per 1M tokens | −10% | −15% | 200K | → | Try | ||
| $2.70 / $13.50$0.27 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $0.18 / $0.30per 1M tokens | −40% | −43% | — | → | Try | ||
| $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | — | → | Try | ||
| $0.15 / $0.50$0.03 cache read · per 1M tokens | — | −5% | 1.31M | → | Try | ||
| —per 1M tokens | — | — | — | → | Try | ||
| $0.42 / $8.40per 1M tokens | −30% | −34% | — | → | Try |
Structured extraction and classification — annotations, document parsing and knowledge-base prep at volume.
Reliable JSON outputLowest unit priceHigh throughput| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $0.070 / $0.28$0.02 cache read · per 1M tokens | −30% | −34% | 1.05M | → | Try | ||
| $0.33 / $1.31per 1M tokens | −40% | −43% | 64K | → | Try | ||
| $0.28 / $1.12$0.07 cache read · per 1M tokens | −30% | −34% | 1.05M | → | Try | ||
| $0.10 / $0.42$0.05 cache read · per 1M tokens | −30% | −34% | 128K | → | Try | ||
| $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | — | → | Try | ||
| $0.79 / $2.38$0.04 cache read · per 1M tokens | −5% | −10% | 1.05M | → | Try | ||
| $0.90 / $4.50$0.09 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $9.00 / $45.00$0.23 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $0.15 / $0.50$0.03 cache read · per 1M tokens | — | −5% | 1.31M | → | Try | ||
| $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | 1.05M | → | Try | ||
| $1.26 / $3.96$0.23 cache read · per 1M tokens | −10% | −15% | 1.31M | → | Try | ||
| $0.90 / $4.50$0.09 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try |
Multi-step reasoning for fraud checks, reconciliation, ad-creative review and sales analytics.
Strong reasoningExplainable outputLong context| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
| $0.15 / $0.90$0.01 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | ||
| $1.75 / $7.00$0.88 cache read · per 1M tokens | −30% | −34% | 128K | → | Try | ||
| $1.80 / $9.00per 1M tokens | −40% | −43% | — | → | Try | ||
| $0.60 / $3.60$0.06 cache read · per 1M tokens | −20% | −24% | 400K | → | Try | ||
| $1.23 / $9.80$0.12 cache read · per 1M tokens | −30% | −34% | 400K | → | Try | ||
| $1.80 / $9.00per 1M tokens | −40% | −43% | — | → | Try | ||
| $0.10 / $0.42$0.05 cache read · per 1M tokens | −30% | −34% | 128K | → | Try | ||
| $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | ||
| $8.00 / $40.00$0.80 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | ||
| $9.00 / $45.00$0.23 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | ||
| $1.80 / $5.40$0.23 cache read · per 1M tokens | −10% | −15% | 1M | → | Try |
Estimate the cost.
See the savings.
Choose a workflow and usage level to see an example monthly cost on GPTProto, alongside the same usage at comparable provider rates.
Video and agent workloads burn credits faster — the recommendation adjusts automatically as you switch scenario or usage level.
Built for Production.
Ready When Routes Change.
Cheap is worthless if it's down. Here's how we keep requests flowing — by mechanism, not by promise.
Auto-Failover
Major models run on redundant upstream channels. If one goes down, traffic shifts to a backup automatically — no manual fixes, no dropped traffic.
Redundant Upstream Channels
Major models are served through redundant upstream channels, so a single provider outage never takes your app with it.
Browse models24/7 Monitoring
Continuous monitoring with automatic traffic shifting — issues are routed around before your users ever notice a thing.
Your Usage.Your Potential Savings.
Choose a model and enter your monthly usage to compare estimated costs on GPTProto, the official provider, and OpenRouter.
Don't take our word for it.Take theirs.
Real posts from real, public accounts — nothing here is invented.

I've been testing GPTProto recently, and it's honestly made my creative workflow much simpler. Instead of paying for multiple subscriptions, I can access several leading AI models from one place.

I turned this single prompt into a cinematic fantasy video using GPTProto. "Continuous 15-second cinematic shot, 4K resolution, hyper-realistic dark fantasy photorealism…"

I challenged myself to create a cinematic AI cooking short in just 15 seconds. I used GPTProto to bring the entire workflow together, from image generation to video, all in one place.

Made with Seedance 2.0 + GPT Image 2 on GPTProto. A Pixar-style commercial with the perfect glow.
What worked for me was pointing the cloud connections at GPTProto so the frontend only sees one endpoint and I just change the model name to swap. I am not rebuilding a connection from scratch every time.
I route the calls through GPTProto so a fallback is a config switch instead of a weekend rewrite when a model disappears. It turns "my default model just got export controlled" from an incident into a config change.

I used to switch between different AI tools just to compare results. Now I just use GPTProto. GPT-5, Claude, Gemini, Kimi, and more — all in one workspace.
I route the calls through GPTProto so the model id and latency land in one place regardless of which provider is behind it. The win is having the log schema consistent across providers.

I created this 15-second cinematic product video with GPTProto using Seedance 2.0, and I was really impressed by how smooth the workflow was.

GPTProto routes the character prompt and shot list to a top model on one API key: 20 minutes … voices it and burns in captions from the same key: 20 minutes.
Text, images, and voice are configured separately. You can keep OpenRouter for text and use GPTProto for visuals.
The call layer underneath the router is GPTProto, so swapping a model does not require provisioning a new provider integration. Changing models becomes cheap enough that the question stops being "should we change."
Pay Per Token.
No Subscription. No Minimum.
You only pay for what you use. Top up once, spend it on any of 200+ models.
Get started. Great for testing the endpoint and trying new models.
The sweet spot for individual developers and small projects shipping to production.
Built for teams running production workloads. Bonus credits stack on already-discounted model pricing.
GPTProto FAQs.Answers Before You Start.
Short answers. No sales talk.
01How hard is migration?
Change your base_url and API key — that's it. Everything is OpenAI-compatible, so your existing SDK, streaming, function calls and tools keep working as-is. Most teams switch in under 10 minutes.
02Why is GPTProto cheaper than official pricing?
We aggregate volume across providers and pass the margin to you: 10–30% below official pricing on 200+ models. No subscription, no minimum — you pay per token.
03How reliable is it for production?
Requests route through redundant upstream channels with auto-failover — if a channel goes down, traffic moves to backups automatically. Monitored 24/7. Built for production, not for demos.
04Do bonus credits stack with the discount?
Yes. Every top-up can include bonus credits, and bonus credits spend at the same discounted model prices.
05Can I get invoices for my company?
Yes. Invoices are available for every top-up — contact us from your registered email and we'll issue them. One account, one balance, one invoice for all 200+ models.
AI Model Guides.Practical API Tutorials.
Compare models, learn API setup, and explore image and video workflows for real projects.
Your next 100,000,000 tokensshouldn't cost full price.
Create images and videos online, or bring text, image, and video models into your app with one API key. Explore discounted rates on selected models.
- ✓OpenAI-compatible
- ✓200+ models
- ✓10–30% lower than official
- ✓High uptime, auto-failover