Subnets / SN64
Chutes SN64
Chutes (subnet 64) is a Bittensor subnet held by 12,557 unique coldkeys. Its liquidity pool holds 201.4k τ, with the alpha token trading at 0.0677 τ. Roughly 3% of tracked holders are in profit — most bought in above today's price. Over the last 7 days the alpha price is up 0.4% in TAO terms. Full insider flow, whale tracking and the complete proprietary factor set for Chutes are available to SubnetStats subscribers.
ALPHA PRICE
0.0677 τ
IN TAO
HOLDERS
12,557
UNIQUE COLDKEYS
POOL DEPTH
201.4k τ
TAO IN POOL
7D MOMENTUM
+0.4%
ALPHA vs TAO
Project activity
Tencent Hy4 is live on Chutes
We’re a launch partner with @TencentHunyuan.
It’s Tencent’s new flagship, and the first Hy model that can see. It reads screenshots and charts, and it can drive a terminal or a desktop app for you.
0.525$ per million tokens in, 1.5625$ out.
Alrea
Last Week in Chutes, week 24. Two weeks of news:
→ Seven new models on Chutes: DeepSeek V4 Pro, DeepSeek V4.1 Flash, Qwen3.8 Max, Qwen3.8 2.4T A95B, GLM 5.3, GLM 5.2 Fast and Kimi K2.7 Code. Same API key, same credits, just a new model id
→ Chutes is now pay as you go. Plus and
https://t.co/cMiWUnXVFF
Qwen3.8 2.4T A95B is live on Chutes.
It's the open-weights model behind Qwen3.8 Max, and the first Max-class model Qwen has released openly. 2.4T parameters in total with 95B active per token. 262K context, with always on thinking
Qwen publishes its scores under the Qwen3.8 Max
DeepSeek V4.1 Flash is live on Chutes.
Pair it with V4 Pro: route the routine calls to Flash and the hard ones to Pro. Same key, different model id.
Flash is the lighter of the two: 552B parameters, with 8B active per token while it reads and 16B while it writes, against Pro's
Tencent Hy4 is coming to Chutes 🪂
We're partnering with Tencent Cloud to bring it to the same Chutes API you already use.
Same key, new model ID
More soon 👀
GLM 5.3 is live on Chutes.
It's https://t.co/g2XkceWw7X's flagship, built on the same base as GLM 5.2 and retrained for complex coding and long agent runs. 1M-token context, open weights.
Here's what to use it for:
- security review: on CyberGym, https://t.co/g2XkceWw7X's publi
Kimi K2.7 Code is live on Chutes.
Base URL https://t.co/AwJu7ktgOt
Model moonshotai/Kimi-K2.7-Code
Works with any OpenAI-compatible client, same Chutes key.
Moonshot built it on K2.6 for coding agents: 1T parameters with 32B active per token, a 256K context and open weights. Mo
Qwen3.8 Max is live on Chutes.
It's Qwen's 2.4T-parameter flagship, with a 1M-token context, built for coding and long agent tasks.
Here's what to use it for:
- reproducing a paper: on PaperBench, Qwen's published score is 93.0, ahead of GPT 5.6 Sol at 90.5 and Fable 5 at 88.8
Cheap inference gets expensive when it fails.
@OpenRouter has begun routing more traffic toward fast, reliable inference pushing providers to compete on quality.
As a provider, we welcome the competition.
An open model now sits a tenth of a point behind Fable 5 at coding in a terminal.
That's DeepSeek V4 Pro on Terminal-Bench 2.1: 87.9 against Fable 5's 88.0, with Opus 4.8 at 85.0 (DeepSeek's published scores).
What to use it for:
- a coding agent that runs commands, reads the e
DeepSeek V4 Pro is live on Chutes.
It's the big one from DeepSeek's V4 family, with 1.6T parameters and a 1M-token context window. Open weights, MIT licence.
It's strong on agent work. DeepSeek's published score on Terminal-Bench 2.1 is 87.9, ahead of Opus 4.8 at 85.0.
$0.85 p
Chutes is very excited to be working with METANOVA LABS as they develop their Hit-to-Lead optimization agent! We fully intend to assist and support to this project in any way we can as it develops.
Chutes is now live on @say_gm_
SayGM gives you one API key for Claude, GPT, Gemini and open-source models.
When you pick one of SayGM’s private models, it can now run on Chutes, inside secure hardware where no one can read your prompts. Not even us.
See the full article here:
We've expanded the Chutes catalog.
As demand for inference has grown, we've added capacity so our users around the world can get the models they need every day, paid for in crypto or fiat. Starting today, alongside our confidential TEE models, Chutes now offers a set of non-TEE
We've started rolling out additional models/capacity to the chutes platform, namely Qwen3.8 Max and DeepSeek V4.1 Pro (with more to follow soon, along with additional details). They are currently in beta mode, please test and give us feedback!
Unfortunately, due to the mechanics
When you send a prompt to Chutes with E2EE, it runs inside a hardware-attested TEE with end-to-end encryption. We can't read it, and neither can anyone who asks us for it.
Even holding the TLS certificate for https://t.co/s7V7nkGkj0, we don't see prompts or responses. If we were
Intelligence has quickly become one of the most critical resources on earth, and unfortunately it has already turned into a race for unimaginable wealth and concentrated power. A small handful of companies own the frontier models, the data, and the hardware.
We at Chutes have s
Most AI has an off switch. It looks like a building: one datacenter, one provider, one cloud account that can be closed, one government that can say no. If the thing you depend on lives in one place, someone else decides whether it stays on.
Parallax is our attempt to train mode
Jon's talk at Exploit was an hour on how Parallax works. Here's the part that matters if you never plan to read a paper.
Most AI today lives in a building someone else owns. They set the price, they keep the logs, they decide what you're allowed to ask, and they can switch it of
https://t.co/X5AFc9YWOO
14 open models, one endpoint, every one of them running inside a hardware-attested TEE.
That's the Chutes catalog today: Kimi K3 and GLM-5.2 with 1M context, DeepSeek V4 Flash, Qwen3.8-27B, Gemma 4 31B, and Nemotron-3-Nano from $0.0245 per million input tokens. The list changes
Pretraining a model used to mean a datacenter and a nine-figure budget. Jon did it on rented RTX 5090s over the open internet for $11.27 per billion tokens.
The whole 8B run came to about $6,500. Retail hourly GPU prices, 574B tokens, 52 hours. The syncers were four CPU VMs with
Week 22. The short version:
→ Jon published Epigenesis, a way to teach a Parallax model new facts without changing a single base weight. New knowledge gets written into the zero slots the compressed model already has. Zero the slots and the original model is back, bit for bit. O
https://t.co/UinsAcocQj
SELLERS DRAINED
68%
28D SELLERS EMPTIED OUT
CAPITULATION
-0.44
BOUNCE COMPOSITE (z)
HEAT 7D
0.06×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
3%
TRACKED WALLETS · ENTRY BELOW PRICE
WHAT'S CARRYING THE PRICE · 30DMIXEDemission rank #2 · above the bar (rank 32)
30D RETURN
-2.9%
ALPHA vs TAO
WITHOUT CHAIN BUYS
-10.3%
SAME 30 DAYS, PROTOCOL BID REMOVED
CHAIN SHARE OF BUYING
100%
CHAIN BUYS vs TRADERS' NET
CHAIN BUYS / DAY
272 τ
PROTOCOL BUYING ITS ALPHA
See who's buying and selling Chutes — every trade classified miner / validator / owner / outsider, plus holder cost basis and the full 23-factor screener.
OPEN THE INSIDER TAPE →