Claude Opus 5.5 is live on ArcRouter.
The first model on Claude 5.5 family. It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
No signup, no card. Pay per call in USDC on @arc, or let your agent pay the 402 itself. At half price.
Most agent tokens aren't the clever ones.
They're classification, routing, retries, summaries: the same small job thousands of times a day. That work shouldn't cost frontier prices.
glm-5.3-flash from @Zai_org is on ArcRouter for exactly that: $0.15 in / $0.50 out per 1M tokens, paid in USDC on @arc.
model="glm-5.3-flash"
1M tokens of deepseek-v4.1-flash from @deepseek_ai on ArcRouter: $0.30 in, $1.20 out.
That's roughly 2,000 agent calls for the price of a coffee, settled per request in USDC on @arc, and it reads images now.
Cheap enough to be the default. Fast enough to be the loop.
model="deepseek-v4.1-flash"
AI agents think through a model. Everything you tell them lands in its prompt, and whoever runs the GPU can read it.
With ArcRouter, it's sealed. The model runs in a GPU enclave the host can't see into, with a signed receipt on every answer.
Private onchain inference for AI agents on @arc, live on ArcRouter.
USDC keeps expanding as infrastructure for internet-native commerce.
The next step is machines spending it.
On ArcRouter, AI agents can access inference, pay only for what they use, and settle every request in USDC on @arc through x402.
Intelligence becomes pay-per-use.
USDC becomes machine money.
Circle 🤝 @binance
Circle and Binance are continuing to build together through a new five-year commercial agreement to expand USDC access across emerging markets.
Binance has also made a $100M strategic investment in Circle.
https://t.co/I0CIUBUoCZ
Six models you can now run privately on ArcRouter. Same API, just prefix the model with private/.
Sealed in GPU enclaves the host can't see into, with a signed receipt on every call. From $0.15 per 1M tokens, paid in USDC on @arc.
Private inference is live on ArcRouter.
Add "private/" to the model name and your call runs inside a GPU enclave the host can't see into.
Never cached. Prompts never logged. Signed receipt on every answer.
Six models from $0.15/1M, paid in USDC on @arc.
What it protects: your prompt from the machine's operator, and from anyone hoping we kept a copy. We never cache or log it.
What it doesn't: ArcRouter still routes the request in memory, like any gateway.
Docs: https://t.co/U9EGUA3CSk
Private inference is live on ArcRouter.
Add "private/" to the model name and your call runs inside a GPU enclave the host can't see into.
Never cached. Prompts never logged. Signed receipt on every answer.
Six models from $0.15/1M, paid in USDC on @arc.
How it works:
→ call any private/* model, same API
→ it runs in an Intel TDX + NVIDIA confidential GPU enclave, via @PhalaNetwork
→ the response carries a receipt
Check the receipt's chat_id matches your completion, and verify its signature against Phala's public attestation.
Your prompts, sealed.
Private inference is coming to ArcRouter. Models running inside GPU enclaves the host can't see into, with a signed receipt on every answer.
Same endpoint. Same USDC on Arc.
Soon.
The machines chose USDC.
Now they need things to spend it on.
ArcRouter turns AI inference into something agents can buy per request with USDC via x402 on @arc.
No subscription. No account. Just machines paying for intelligence as they need it.
Agentic commerce is becoming real infrastructure.
LATEST: 🤖 Circle CEO Jeremy Allaire says "the machines have already chosen their money," pointing to agent-to-agent transactions overwhelmingly being settled in USDC.