Neuronicx

AI API Service Platform
The only official account of Neuronicx
Telegram Channel:

[Neuronicx @NeuronicxAI]

Get it on Neuronicx

Claude Pro / Max / Code / API. Instant delivery, no sign-up, no currency hassle (HK + mainland).

Full breakdown — benchmarks, pricing & which model to pick:
https://t.co/xkx8p4O76G

#ClaudeSonnet5 #Anthropic #ClaudeAPI

[Neuronicx @NeuronicxAI]

Claude Sonnet 5 is here. ⚡

The most agentic Sonnet yet — it plans, drives a browser + terminal, and ships work on its own. The kind of work that needed a flagship model just months ago.

Near Opus 4.8 quality, ~60% cheaper:
→ SWE-bench Pro 63.2%
→ GDPval 1,618 (beats Opus 4.8)
→ $2 / $10 per M tokens — intro, till Aug 31

Default to Sonnet 5. Live now on Neuronicx 👇

[Neuronicx @NeuronicxAI]

Get started 👇
https://t.co/pYJoDuevfv
Telegram: https://t.co/7V2XAPHMMy

Same API format you already use — just swap in claude-fable-5.

[Neuronicx @NeuronicxAI]

Claude Fable 5 is live.

The first public Mythos-class model — and the line between "AI that answers" and "AI that ships" just disappeared.

Now available on Neuronicx. 🧵

[Neuronicx @NeuronicxAI]

You don't need to wait for an Anthropic invite or wrangle Bedrock.

Point your existing calls at Neuronicx and switch the model string to claude-fable-5. That's it.

The fastest way to run the most capable model in the world today.

(How to start 👇)

[Neuronicx @NeuronicxAI]

Claude Opus 4.8 just made one thing clear:

AI is moving from “answering questions” to “doing work.”

The real upgrade is not just intelligence.

It is consistency.

A model that can code better, reason longer, handle agentic tasks and stay reliable during complex workflows is much more valuable than a model that only performs well in demos.

This is why developers are no longer asking only:

“Which model is the smartest?”

They are asking:

“Which model can actually survive production?”

Claude Opus 4.8 is built for that direction.

And Neuronicx now supports to buy Claude Opus 4.8 API for users who need access to advanced AI models through API and AI service workflows.

GPT, Claude, Gemini and other models are no longer separate islands.

They are becoming one AI infrastructure layer.

That is what we are building at Neuronicx.

[Neuronicx @NeuronicxAI]

May 22, 2026 · Google quietly dropped Gemini 3.5 this Monday. Here's what shifted.

3.5 Flash went GA on May 19. 3.5 Pro coming next month.

What's new:
· Trained for "frontier intelligence with action" — agentic workloads, not just chat
· Now the default model for Gemini app and AI Mode in Google Search
· Available via Google Antigravity (agent-first dev platform), Gemini API in AI Studio, Vertex, Gemini Enterprise

The interesting product move is Gemini Spark:
A personal agent running 24/7 on 3.5 Flash, taking action on your behalf. Trusted testers now, Beta for Google AI Ultra US subscribers next week.

Read it alongside the rest of May:

· OpenAI (May 8): doubled down on voice — 3 realtime models, Zillow case study from 69% → 95% call success
· Google (May 19): doubled down on agents — Gemini 3.5 Flash + Spark
· Anthropic (April): doubled down on coding — Claude Opus 4.7 ($5/$25, cut 67%)

Three frontiers, three different bets.

Text token pricing has bottomed out. The new margin sits at the product layer — voice flows, agent loops, coding pipelines. Pure token resale will compress fast in the next 6 months.

🤔 Where are you betting your stack — voice, agent, or code?

[Neuronicx @NeuronicxAI]

May 8, 2026 · OpenAI just shipped 3 voice models in one day. Here's what's actually going to change.

1. GPT-Realtime-2 (flagship voice)
GPT-5-class reasoning. Context expanded 32K → 128K. Parallel tool calling. Adjustable reasoning effort.
Zillow benchmark on adversarial dialogues: call success rate 69% → 95%, +26 points.
What this means: voice AI is finally clearing the bar for customer support, sales, and booking flows where "almost works" doesn't cut it.

2. GPT-Realtime-Translate
70+ input languages, 13 output languages. $0.034 / min.
Cross-border meetings, international support, live-stream translation. This category is going to compress fast.

3. GPT-Realtime-Whisper
Streaming speech-to-text. $0.017 / min (half the price of Translate).
The new baseline for live captions, meeting notes, voice input.

While we're at it, the May 2026 flagship API price landscape (per 1M tokens, in / out):

· GPT-5.5 $5.00 / $30.00
· Claude Opus 4.7 $5.00 / $25.00 (cut 67% earlier this year, down from $15 / $75)
· GPT-5.4 $2.50 / $15.00
· Gemini 3.1 Pro $2.00 / $12.00 (cheapest flagship, 2M context window)
· Claude Haiku 4.5 $1.00 / $5.00
· Gemini 3 Flash $0.50 / $3.00
· Gemini 3.1 Flash-Lite $0.25 / $1.50 (GA May 7)

The pattern is clear:
text token pricing has hit a floor. The next battlefield is multimodal — voice, video, cross-lingual.

Claude cut 67%. Gemini Pro went paid-only. OpenAI just pivoted to voice.
Three different bets, same underlying signal: text alone is no longer where the margins live.

Where does your product spend the most tokens today — text, voice, or multimodal?
Roughly how many a month?

[OpenAI Developers @OpenAIDevs]

🎙️ Voice AI only feels natural when conversation keeps pace with speech.

Here’s how we rebuilt our WebRTC stack with a thin relay and stateful transceiver to keep real-time media fast for ChatGPT voice, the Realtime API, and more.

https://t.co/JEvs2PmsmC

[Neuronicx @NeuronicxAI]

This is exactly what we're building Neuronicx for:

One endpoint, multiple providers, automatic failover when any single one degrades.

Quietly opening early access this week.

Want in? https://t.co/7V2XAPHMMy

[Neuronicx @NeuronicxAI]

April 2026 was a wake-up call for anyone running AI in production:

• Apr 15 — Anthropic: https://t.co/06OW5HXzli + API + Code down for 7 hours
• Apr 20 — OpenAI: ChatGPT + Codex outage, 3K+ reports
• Apr 24 — Anthropic again: Opus 4.7 + Sonnet 4.6 flapping

If you're single-vendor, you've already paid the tax.

[Neuronicx @NeuronicxAI]

The pattern is brutal but obvious:

→ Single provider = single point of failure → Single tokenizer = silent cost drift → Single rate limit = production halts at the worst possible moment

Teams shipping reliably in 2026 don't bet on one model. They route across many.

[Neuronicx @NeuronicxAI]

"Thinking" in practice looks like:
same character across 8 panels, same lighting,
same mug on the desk — without re-specifying any of it.

gpt-image-2 is the first model where multi-panel
consistency ships without manual cleanup.

Manga / storyboard / infographic workflows
just became real production pipelines.

[Neuronicx @NeuronicxAI]

@sama @gabeeegoooh Character consistency across all 4 panels is
the part that quietly ends every other image model.

Same guy, same mug, same room — at the same seed.

Midjourney at this length? Different character
every panel. This changes what's shippable in production.

[Neuronicx @NeuronicxAI]

Been consolidating all my AI spend into one place
since direct billing got chaotic:

→ LLM APIs (GPT / Claude / Gemini + OSS)
→ Training data
→ GPU rentals
All under one invoice.

https://t.co/0lEQMxAd4r

Running past $500/mo in AI spend?
DM me your breakdown — I'll tear it apart for free.

[Neuronicx @NeuronicxAI]

Everyone's shipping with ChatGPT Images 2.0.

Nobody's looking at their April invoice yet.

7 things I learned burning $1,400 on gpt-image-2
in 72 hours — and how to cut 60% without losing quality 👇

[Neuronicx @NeuronicxAI]

That's my April invoice autopsy.

Next thread in 48h:
"How we cut Claude Opus 4.7 spend 73% in one weekend
using only prompt caching + batch."

Follow @NeuronicxAI if you're shipping AI
and tired of surprise bills.