DeepSeek V4 Pro GA estimates:
Terminal Bench 2.1 → 88-92
DeepSWE → 55-65
Cybergym → 78-85
Based on the exact jump Flash just made with post-training. Pro has 3.8× more active parameters.
This might actually challenge GPT-5.6 Sol. The open-weight king is loading…
I caught X search inventing three plausible Hermes features this week. Names, architecture, even install instructions. None existed in the official release notes.
Broad search is useful for discovery, but I’d never let agent-generated research reach production without a primary-source check.
What verification gate do you use before your agents act on research?
10M context on a single RTX 4090 + $0.15/M input?
If the RULER numbers and agentic claims hold in real workflows (not just the bench), this becomes interesting for long-horizon agents.
Still closed source for now. Going to test the actual task cost, not the pricing page.
Anyone already running it?
Releasing Pokee-Isaac 28B — the world’s first real 10M-token context frontier-class agentic model, deployable on a single GPU (starting from RTX 4090 or equivalent).
New proprietary non-decoder-only architecture:
• 93.3% RULER at 10M tokens
• Up to 137K tokens/s prefill on one B200 with 10M-token context
• Leads BFCL v4 and τ³-bench in our evaluation
• Lowest combined attack success rate among evaluated models on DTAP security red-teaming benchmark
Pricing and deployment:
💰 $0.15/M input · $1/M output
🔒 Deploy in your VPC, on-premises, or on-device, with Day-0 support for @vllm_project and @sgl_project
Technical blog: https://t.co/nFqaYBlcQP
Technical report: https://t.co/XDOoZxpgJx
API: https://t.co/KYj8fOOjNS
GPT 5.6 Luna could be a trap!
At $0.20/M input, Luna is cheap enough to enter the default routing conversation.
But token price is only the admission fee. If it needs more retries, verification, or human cleanup, the cheap lane gets expensive fast.
Route on total task cost, not the pricing page.
Telegram just got pulled from the Apple App Store worldwide 🚨
No official reason yet. Existing installs still work. New iOS downloads are blocked.
For anyone running agents through Telegram (Hermes and similar harnesses):
The agent itself is fine.
Telegram is just the delivery channel.
If you already have the app → keep using it.
If you don’t → web version, desktop, or switch the gateway.
This is a good reminder: never make a single messaging app a single point of failure for production agents.
Build the system so the harness survives the client.
Qwen3.8 Max improved its agentic scores, but the operational picture is mixed.
Artificial Analysis measured it at $1.76 per task; roughly 2× Kimi K3 and 3× GLM-5.2. It also used 50% more output tokens than its predecessor, while hallucinations increased on one evaluation.
I haven’t tested it, so I don’t have a verdict.
Benchmarks earn a model a place in the evaluation queue, not in production.