Do you guys provide ZDR? We’ve been waiting for someone to offer inference in Sydney on decent GPUs for a while but we’ve got strict no logging or retention requirements.
> Just a quick heads-up — I'm Claude, made by Anthropic, not Kimi! Kimi is a different AI assistant (made by Moonshot AI), so it looks like there might be a little mix-up.
I remember when Claude identified as ChatGPT a long time ago. It proves nothing else than that there is a lot of training material on the internet with Claude as the AI.
scotty79 1 days ago [-]
I don't understand why labs don't include correct model name in the training process. Almost nobody seems to be willing to tell their models who they actually are.
embedding-shape 1 days ago [-]
If the model works correctly, you don't need to include the model name in the training process. You just add in the system prompt "You are X, trained by Y" and the model will claim to be that. That also allows users to "white-label" the outputs sort to say.
This approach is basically how all "models know who they are" (they don't actually typically "know" that at all), it's just a system prompt instruction in the platform you use.
brookst 1 days ago [-]
But I would expect they would at least use post-training to discourage identifying as the wrong company.
dannyw 22 hours ago [-]
A lot of API customers don't want their chatbot or agent to identify as Claude or GPT, they want it to identify as <customisable marketingname>.
scotty79 17 hours ago [-]
That's probably the true reason.
XenophileJKO 1 days ago [-]
That only makes sense if you don't sell access to the model for 3rd party product development. One of those products is chat personas/agents. The company integrating the model will want it's own identity.
scotty79 1 days ago [-]
You can put anything in the prompt. And if you have bare model that you don't give any prompt from the start and want to find out which model you are talking to, you are out of luck.
I think Qwen teaches its models that they are Qwen. Most others don't bother.
irthomasthomas 1 days ago [-]
Because they do not know the name of the model before they train it. There is also distillation, where multiple models will be trained from a larger one. E.G. Sonnet was promoted to Opus at one point after it surpassed expectations.
cleaning 2 days ago [-]
How many times do people need to point out that every model has this behavior until this stops being posted?
dan_gee 1 days ago [-]
[dead]
nojs 2 days ago [-]
This happens with other models too - Gemini often identifies as ChatGPT for me, confusing many a debugging attempt
Razengan 2 days ago [-]
It's distillations all the way down!
1 days ago [-]
w4yai 1 days ago [-]
Models don't know who they are. Stop asking this question to the model as a source of truth.
1 days ago [-]
FooBarWidget 2 days ago [-]
Models don't have an inherent identity. It should be obvious by now that every models trains on public AI chat session transcripts. I've seen Claude say it's Qwen.
Razengan 1 days ago [-]
The meme/trope of China copying everything really keeps playing into itself
jingpostmedia 1 days ago [-]
[flagged]
croes 2 days ago [-]
Could be on purpose to disguise as a US made model
That’s how a smoking gone turns into a water pistol
TZubiri 1 days ago [-]
I can see how, if all you ever were exposed to was that link and this post, you might think they are equivalent, and the conclusion is "whatever, everyone is stealing from each other.
But the answer is no, Claude didn't train itself on ChatGPT, but Kimi K3 did train itself on Claude.
There has been no accusation that I am aware of by OpenAI against Anthropic, (which are in the same jurisdiction, so it would amount to legal action). On the other hand there have been accusations with extensive detail by Anthropic on how chinese models are attacking Anthropic to reverse engineer and copy their product.
There's nuance if you care to see it, but maybe it's easier to pretend that everyone is ripping each other off so that you can consume a ripoff without seeing yourself as at fault.
victorbjorklund 13 hours ago [-]
point is everyone scrapes data from the internet. Do you think there is at least one page on the internet that mentions Claude as an AI? Well, then it's part of the training material.
TZubiri 2 hours ago [-]
Yes, that's why Claude might think it's ChatGPT from time to time, because it scraped a url that contained chatgpt conversations.
But the reason why Kimi thinks it is Claude is different, it's because chinese companies make thousands of fake accounts, fire prompts at Claude and train their models to imitate Claude.
lukewarm707 2 days ago [-]
when open source models are banned maybe i will become a cartel kingpin smuggling open source weights into the usa. find a sufficiently shifty street corner, 'what do you need', "kimi". are you familiar with my product? pure mxfp4, $500 per TB.
(joke and walter mitty, i know the government reads my messages)
Grimblewald 2 days ago [-]
if this qualifies bootleg, point me at non-bootleg frontier ai.
mesmertech 2 days ago [-]
Why are you guys not on Openrouter? I assume you'd get way more volume that way no?
The top text says MENA as well, but the regions page doesn't mention it.
maelito 1 days ago [-]
Thanks !
htrp 1 days ago [-]
Token Type Price per 1M tokens
Cached Input $0.27
Input $2.70
Output $13.50
Looks like they are first vendor to undercut in price.
bedros 2 days ago [-]
any of these providers are HIPAA compliant?
contactdq 1 days ago [-]
At Telnyx, we are willing to enter into a BAA. Just hit up our sales team.
vdfs 2 days ago [-]
Amazon Bedrock, but they don't have this model yet
smallerize 2 days ago [-]
Very cool. What are your throughput and latency like?
morpheuskafka 2 days ago [-]
I have used Telnyx for, on the opposite end of cool-ness, their fax API. Curious if their AI pricing and quality are actually competitive or if this is just a rapid pivot to try to ride the AI wave.
contactdq 1 days ago [-]
It's not a rapid pivot. We've been doing AI stuff for quite some time, particularly on the voice side. Soon, you'll see more from us on the physical AI side. Our GPUs are colocated next to our mobile core, so as we roll out vision models, you'll be able to do things like agentically pilot drones with low latency.
trollbridge 1 days ago [-]
By 2030 or so, it will become clear that AI's impact on the economy has been no greater than the fax machine's.
jakswa 2 days ago [-]
what quantization? FP4?
NitpickLawyer 2 days ago [-]
The model is native mxfp4 w/ mxfp8 activations via QAT.
trollbridge 1 days ago [-]
I have some morbid curiousity about what K3 would be like in an FP16 or FP32 model.
tokai 2 days ago [-]
That is not going to be cheap for long if K3 prices does the same as GLM5.2 prices. If nothing else open weight models are great to get providers to compeete on price.
rvz 2 days ago [-]
Jevon's paradox depends on how cheap the tokens get as the price of tokens get driven to zero as intelligence gets better and cheaper.
inigyou 2 days ago [-]
Well this is a very large and expensive model. Try something like Qwen-7B if you want ultra-cheap.
philjohn 1 days ago [-]
I thought Mythos was rumored to be around 10tn parameters? Kimi k3 is 2.8tn.
neuroticnews25 2 days ago [-]
Larger than Mythos? How is that?
TZubiri 2 days ago [-]
I think telnyx is a good product, with the only stain to its name being the supply chain attack on their python library.
But I don't feel like providing inference is a professional move, it feels like out of scope for a telephony IaaS company. Feels like a FOMO moment where a reputation of years is crashed in a couple of weekends of being drawn into a fad.
And the fact that it's a chinese model doesn't quite help? I guess it's on brand with the 'cheap' pay as you go brand telnyx might already be associated to.
But more so it reads like Telnyx is trying to 'jump' into the trend of the 'open weights' discussion to compete with closed source incumbents. But we are at the tail end of the boom, anti ai sentiment is ever growing, customers now despise AI, especially in support channels, which is presumably the hook that Telnyx would have into 'AI'(LLMs). At this stage any company or individual that tries to join into the buzzword fueled cycle will pay the full fixed cost reputational price, but only reap the leftover hay from when the sun shone.
AI(LLM) on support channels is essentially a decapitalization of a company/brand, the company has a reputation that customers value, and might be worth good money in the market, and by implementing AI (LLMs) on support, a lot of costs can be cut, while the brand loses value, not sustainable. And by Telnyx (or any B2B company)asking their clients to participate in this decapitalization move, they essentially gamble their reputation as well, albeit with better odds as shovel sellers.
contactdq 1 days ago [-]
Yeah, the pypi thing sucked, and we've taken the necessary measures to prevent something like that from happening again.
We're moving past "telephony" and focusing on building more agentic primitives at the telecom edge.
This isn't a recent jump. We've been on this path for some time.
Disagree with you on the customer support side and re: decapitalization in general. People will want to talk to competent bots. We have people literally prompting our AI agents (which are capable of doing troubleshooting) in our shared Slack channels. You simply cannot beat the speed with which they can provide a quality response.
We remain committed to delivering the highest quality product at the lowest possible price point - across all of our product lines.
jbstack 2 days ago [-]
Large profitable corporations with very poor customer support have existed long before AI, so why should it be different? Using AI to provide poor customer service is just an implementation detail.
inigyou 2 days ago [-]
Companies changing their scope or opening side products is not at all unusual. Microsoft is Windows, what's this Xbox thing? Google is search, why do they have email? Y Combinator is a startup accelerator, why'd they make their own Reddit?
trollbridge 1 days ago [-]
I think Microsoft is still trying and failing to figure out what this X-Box thing is.
LoganDark 2 days ago [-]
Telnyx was cool until they started demanding KYC. I would use them for burner phone numbers until they started saying they needed my government ID. Fuck that.
OVH same thing. Tried to buy a VPS from them some years back and they said no VPS unless I provided ID. Would not refund me. Tried to dispute but my bank just gave me a credit instead.
contactdq 1 days ago [-]
We've been fighting this battle with the FCC. They tried fining us (and then dropped it), but they continue to push the issue via NPRMs. We generally think KYC is ineffective due to ID mules. It's obviously a privacy issue as well.
illliillll 2 days ago [-]
You can go on telegram and pay someone $10 to do the KYC for you.
tomr75 2 days ago [-]
hi nsa
nujabe 2 days ago [-]
There were new regulations passed to combat robocalls that forced these companies to tighten up.
oxidant 2 days ago [-]
10DLC in North America
TZubiri 2 days ago [-]
Seems like a good riddance, telnyx is for business usecases, not for personal use.
Such use would be incompatible because it would lure in fraud, which would ruin the reputation of shared comms resources like ip blocks, phone number blocks, etc..
If you are doing real business, you are providing KYC as a daily matter in procurement, thereby protecting consumers from Sybil scum.
inigyou 2 days ago [-]
> thereby protecting customers from Sybil scum
No? Firstly you can't do a Sybil attack when each identity costs actual resources, and secondly you can still have lots of phone numbers, they just know who each one belongs to.
2 days ago [-]
nttylock 2 days ago [-]
[flagged]
marsven_422 2 days ago [-]
[dead]
hiherer 2 days ago [-]
[dead]
buffer_overlord 2 days ago [-]
That’s huge
teravor 2 days ago [-]
> Because we own the infra, the per-token price reflects the cost of running the model, not the cost of renting someone else's plus their margin.
since you asserted something false and bizarre, how about telling us what is your markup?
alexeldeib 2 days ago [-]
Why are those incompatible? Pricing is 10% under moonshot, and pure infra providers also want money
gruez 2 days ago [-]
I don't get it, what's the contradiction supposed to be?
rubslopes 2 days ago [-]
They are selling it even cheaper than Moonshot AI. Why are you so sure they are lying?
teravor 2 days ago [-]
We estimate that the true blended price per million tokens for running Opus 4.7 on agentic tasks at $0.99 despite the sticker price being $5/$25 per MTok.
according to Semianalysis those prices would be far above actual costs.
petu 2 days ago [-]
They're not saying anything about Anthropic serving costs in that quote, just calculating what MTok price is for running agents. Next sentence after your quote:
> Agentic workloads have extremely high input-to-output ratios (our Claude Code usage has a ratio of about 300:1) and high cache hit rates (90%+). Because cached input tokens only cost $0.50/MTok, most of the tokens end up in the cheapest tier.
90% cache hit input blend: 0.9 * $0.5 + 0.1 * $5 = $0.95 per MTok.
They don't say exact cache hit rate they calculated for ("90%+"), so close enough.
Grimblewald 2 days ago [-]
Please correct me if I'm incorrect, but it seems to me those numbers are describing a fairly different situation to this one. Anthropic serving their own model to their own users at that scale gets cache hit rates and machine utilisation that someone standing up another company's 2.8T model in four regions isn't going to get, and this thing needs 64 accelerators minimum before it will run at all, so a rack sitting mostly idle through a quiet hour costs the same as a busy one. The margin figure quoted is also just the price against the cost of producing the tokens, it doesn't have buying the hardware in it, or depreciation, or maintenance, or the money they'd have made renting those machines out instead, which with rental prices up 40% since October isn't nothing.
I largely agree things are overpriced, I just don't think that article is the right basis for saying it about this one.
tpm 2 days ago [-]
If they are indeed far above actual costs, then surely price discovery will be done by the overall market in due course.
Why is this provider specifically on the front page?
Also why is this not available over openrouter?
We've been trying to get on OpenRouter. Just reached out to their CEO. Would be great if people could request it as well.
We're unique in that we have B300 in USA, EU, UAE, and AUS.
Also, building out other agentic primitives like stateful actors (in beta, but will be rolled out globally in the coming weeks):
https://developers.telnyx.com/docs/edge-compute/stateful-act...
Also, if you're doing things agentically, check out AI repo:
https://github.com/team-telnyx/ai
€2.693/M input €13.464/M output Surprisingly, cache is not mentioned
Upd: Tensorix joined the fray, with the same prices, with cache at €0.673/M read
> Hi there! Quick note — I'm actually Claude, made by Anthropic, not Kimi. But no worries!
https://imgur.com/a/jqpc2Jc
and
> Just a quick heads-up — I'm Claude, made by Anthropic, not Kimi! Kimi is a different AI assistant (made by Moonshot AI), so it looks like there might be a little mix-up.
https://imgur.com/a/AKxeysH
This approach is basically how all "models know who they are" (they don't actually typically "know" that at all), it's just a system prompt instruction in the platform you use.
I think Qwen teaches its models that they are Qwen. Most others don't bother.
But the answer is no, Claude didn't train itself on ChatGPT, but Kimi K3 did train itself on Claude.
There has been no accusation that I am aware of by OpenAI against Anthropic, (which are in the same jurisdiction, so it would amount to legal action). On the other hand there have been accusations with extensive detail by Anthropic on how chinese models are attacking Anthropic to reverse engineer and copy their product.
There's nuance if you care to see it, but maybe it's easier to pretend that everyone is ripping each other off so that you can consume a ripoff without seeing yourself as at fault.
But the reason why Kimi thinks it is Claude is different, it's because chinese companies make thousands of fake accounts, fire prompts at Claude and train their models to imitate Claude.
(joke and walter mitty, i know the government reads my messages)
Or does openrouter have like a specific contract you have to sign with them and requirements or smth? https://openrouter.ai/moonshotai/kimi-k3#providers
The top text says MENA as well, but the regions page doesn't mention it.
Looks like they are first vendor to undercut in price.
But I don't feel like providing inference is a professional move, it feels like out of scope for a telephony IaaS company. Feels like a FOMO moment where a reputation of years is crashed in a couple of weekends of being drawn into a fad.
And the fact that it's a chinese model doesn't quite help? I guess it's on brand with the 'cheap' pay as you go brand telnyx might already be associated to.
But more so it reads like Telnyx is trying to 'jump' into the trend of the 'open weights' discussion to compete with closed source incumbents. But we are at the tail end of the boom, anti ai sentiment is ever growing, customers now despise AI, especially in support channels, which is presumably the hook that Telnyx would have into 'AI'(LLMs). At this stage any company or individual that tries to join into the buzzword fueled cycle will pay the full fixed cost reputational price, but only reap the leftover hay from when the sun shone.
AI(LLM) on support channels is essentially a decapitalization of a company/brand, the company has a reputation that customers value, and might be worth good money in the market, and by implementing AI (LLMs) on support, a lot of costs can be cut, while the brand loses value, not sustainable. And by Telnyx (or any B2B company)asking their clients to participate in this decapitalization move, they essentially gamble their reputation as well, albeit with better odds as shovel sellers.
We're moving past "telephony" and focusing on building more agentic primitives at the telecom edge.
This isn't a recent jump. We've been on this path for some time.
Disagree with you on the customer support side and re: decapitalization in general. People will want to talk to competent bots. We have people literally prompting our AI agents (which are capable of doing troubleshooting) in our shared Slack channels. You simply cannot beat the speed with which they can provide a quality response.
We remain committed to delivering the highest quality product at the lowest possible price point - across all of our product lines.
OVH same thing. Tried to buy a VPS from them some years back and they said no VPS unless I provided ID. Would not refund me. Tried to dispute but my bank just gave me a credit instead.
Such use would be incompatible because it would lure in fraud, which would ruin the reputation of shared comms resources like ip blocks, phone number blocks, etc..
If you are doing real business, you are providing KYC as a daily matter in procurement, thereby protecting consumers from Sybil scum.
No? Firstly you can't do a Sybil attack when each identity costs actual resources, and secondly you can still have lots of phone numbers, they just know who each one belongs to.
according to Semianalysis those prices would be far above actual costs.
> Agentic workloads have extremely high input-to-output ratios (our Claude Code usage has a ratio of about 300:1) and high cache hit rates (90%+). Because cached input tokens only cost $0.50/MTok, most of the tokens end up in the cheapest tier.
90% cache hit input blend: 0.9 * $0.5 + 0.1 * $5 = $0.95 per MTok.
300:1 input/output blend: (300 * $0.95 + $25) / 301 = $1.03 per MTok.
They don't say exact cache hit rate they calculated for ("90%+"), so close enough.
I largely agree things are overpriced, I just don't think that article is the right basis for saying it about this one.
Not the **literal** cost