Your subscription for chat.Velora for your agents.
Claude Pro and ChatGPT Plus are great in the browser, but they hit message limits when they feed heavy agent flows in Cursor, Claude Code, or OpenCode.
Connect Claude Code and OpenAI via API keys.
Generate a key on Anthropic Console or OpenAI Platform, paste it into Velora, and compression kicks in automatically.
Claude Code via API
Anthropic Console key
By Claude Code we mean usage through an API key created in Anthropic Console (console.anthropic.com), billed pay-as-you-go by the provider. Velora accepts this key in BYOK mode and compresses context before sending.
Coding via OpenAI API
OpenAI Platform key
Same for OpenAI: an API key created in OpenAI Platform (platform.openai.com), not the ChatGPT Plus subscription. Connect it to Velora to cut billed tokens by 63–90%.
What changes with Velora Solo.
It does not replace chat: it adds the programmable API lane for code.
| Dimension | Claude Pro / ChatGPT Plus | Velora Solo €19/month |
|---|---|---|
| Accessible providers | Single closed ecosystem | Open catalog + Anthropic Console / OpenAI Platform keys |
| Usage limits | Time windows and dynamic caps | Fixed quota ~8M tokens + transparent usage |
| When the cap hits | Blocked until the next window | Continuous overflow at a clear list price |
| Agent integration | Proprietary web client | Drop-in endpoint for Cursor, Claude Code, Cline, OpenCode |
| Context compression | None | In-memory optimization, up to 85% fewer tokens |
Stretch every plan.
Full-stack developer: Claude Pro for brainstorming, Velora Solo for agents. Because Velora compresses tokens, the budget you already pay for lasts many more sessions.
01 · Cost per 1M effective tokens
From $10–$20 down to €0.95 per million.
Frontier list prices charge every raw token. On measured models, Velora compresses the redundant 62.8% before it is billed, so each million tokens of real work costs a fraction.
Math (Sept 2026 list): Opus 4.6 $5 in / $25 out → ~$10.00/M blended; GPT-6 Astra $10 in / $50 out → ~$20.00/M blended (agent mix 75% in / 25% out). Velora Solo €19 ÷ ~20M equivalent → €0.95/M. 90–95% lower unit cost.
−90–95% UNIT COST
+150% MORE SESSIONS · SWE-BENCH VERIFIED 500/500 (DEEPSEEK)
02 · Coding sessions from the same budget
Your plan lasts 2.5× more sessions.
The tokens you already pay for on Claude or ChatGPT go 2.5× further: duplicated file reads and terminal history are stripped before billing, so caps and budgets survive long agent runs.
03 · Total monthly bill for 20M tokens of work
~$200–$400 of API work for ~$40 total.
Buying ~20M frontier tokens direct costs ~$200 on Opus 4.6 and ~$400 on GPT-6 Astra. Claude Pro ($20) + Velora Solo (€19) covers the same ~20M of dev work for about $40/month total.
20M at 75/25 mix — Opus 4.6 ($5/$25): 15M × $5 + 5M × $25 = $75 + $125 = $200. Astra ($10/$50): 15M × $10 + 5M × $50 = $150 + $250 = $400. Subscription + Velora ≈ $20 + ~$20 = ~$40. You save $160–$360/mo.
SAVE $160–$360/MO · SAME ~20M OF WORK
Questions, answered.
Can I plug my Claude Pro or ChatGPT Plus subscription into Velora?
Not directly from the chat app, but you can create an API key in 60 seconds at console.anthropic.com (for Claude) and platform.openai.com (for OpenAI) and paste it into the Velora vault. You keep your consumer subscription for everyday chat and use the Velora-optimized API keys to power Cursor, Claude Code, Cline, or OpenCode with 63–90% fewer tokens (measured on DeepSeek-V4-Flash, Qwen 3.5 and GLM 5.2, extrapolated to Claude and OpenAI).
What do you mean by Claude Code here?
By Claude Code we mean usage via an API key created in Anthropic Console (console.anthropic.com), billed pay-as-you-go by the provider. The same applies to OpenAI: an API key created in OpenAI Platform (platform.openai.com), not the ChatGPT Plus subscription. Velora supports both keys in BYOK mode plus the included open catalog.
What happens to my existing subscription when I start using Velora?
Your subscription stays untouched for web chat and manual work in the official client. The €19/month Velora Solo plan includes both benefits: (1) in-memory context optimization on every request made with your own API keys (Anthropic Console, OpenAI Platform, and more), and (2) full access to all open-source models we expose via API (Qwen 2.5 Coder, DeepSeek-Coder, GLM Code) with an included quota of ~8M measured tokens (~20M equivalent).
Are the included open models enough for coding?
Yes for most routine work: local refactoring, unit tests, docs, linting, and bug fixes. For complex architecture, connect an Anthropic Console or OpenAI Platform key in BYOK and let Velora compress the context before sending.
Try it on your own code.
14 days on real sessions and real models, including Anthropic Console and OpenAI Platform keys.