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Kimi K2.5 Technical Report [pdf]
- niyikiza 9mo agoThe Agent Swarm section is fascinating. I'm working on authorization for multi-agent systems so this is relevant to my interests. Lots of interesting parallels to capability-based security models.
- zeroxfe 9mo agoI've been using this model (as a coding agent) for the past few days, and it's the first time I've felt that an open source model really competes with the big labs. So far it's been able to handle most things I've thrown at it. I'm almost hesitant to say that this is as good as Opus.
- thesurlydev 9mo agoCan you share how you're running it?
- gigatexal 9mo agoYeah I too am curious. Because Claude code is so good and the ecosystem so just it works that I’m Willing to pay them.
- epolanski 9mo agoYou can plug another model in place of Anthropic ones in Claude Code.
- zeroxfe 9mo agoThat tends to work quite poorly because Claude Code does not use standard completions APIs. I tried it with Kimi, using litellm[proxy], and it failed in too many places.
- AnonymousPlanet 9mo agoIt worked very well for me using qwen3 coder behind a litellm. Most other models just fail in weird ways though.
- samtheprogram 9mo agoopencode is a good alternative that doesnt flake out in this way.
- xxr3376 9mo agoYou can try Kimi's Anthropic-compatible API. Just connect Claude Code to Kimi's API endpoint and everything works well https://www.kimi.com/code/docs/en/more/third-party-agents.html https://www.kimi.com/code/docs/en/more/third-party-agents.ht...
- miroljub 9mo agoIf you don't use Antrophic models there's no reason to use Claude Code at all. Opencode gives so much more choice.
- Imustaskforhelp 9mo agoI tried kimi k2.5 and first I didn't really like it. I was critical of it but then I started liking it. Also, the model has kind of replaced how I use chatgpt too & I really love kimi 2.5 the most right now (although gemini models come close too) To be honest, I do feel like kimi k2.5 is the best open source model. It's not the best model itself right now tho but its really price performant and for many use cases might be nice depending on it. It might not be the completely SOTA that people say but it comes pretty close and its open source and I trust the open source part because I feel like other providers can also run it and just about a lot of other things too (also considering that iirc chatgpt recently slashed some old models) I really appreciate kimi for still open sourcing their complete SOTA and then releasing some research papers on top of them unlike Qwen which has closed source its complete SOTA. Thank you Kimi!
- explorigin 9mo agohttps://unsloth.ai/docs/models/kimi-k2.5 https://unsloth.ai/docs/models/kimi-k2.5 Requirements are listed.
- KolmogorovComp 9mo agoTo save everyone a click > The 1.8-bit (UD-TQ1_0) quant will run on a single 24GB GPU if you offload all MoE layers to system RAM (or a fast SSD). With ~256GB RAM, expect ~10 tokens/s. The full Kimi K2.5 model is 630GB and typically requires at least 4× H200 GPUs. If the model fits, you will get >40 tokens/s when using a B200. To run the model in near full precision, you can use the 4-bit or 5-bit quants. You can use any higher just to be safe. For strong performance, aim for >240GB of unified memory (or combined RAM+VRAM) to reach 10+ tokens/s. If you’re below that, it'll work but speed will drop (llama.cpp can still run via mmap/disk offload) and may fall from ~10 tokens/s to <2 token/s. We recommend UD-Q2_K_XL (375GB) as a good size/quality balance. Best rule of thumb: RAM+VRAM ≈ the quant size; otherwise it’ll still work, just slower due to offloading.
- Gracana 9mo agoI'm running the Q4_K_M quant on a xeon with 7x A4000s and I'm getting about 8 tok/s with small context (16k). I need to do more tuning, I think I can get more out of it, but it's never gonna be fast on this suboptimal machine.
- esafak 9mo agoThe pitiful state of GPUs. $10K for a sloth with no memory.
- segmondy 9mo agoyou can add 1 more GPU so you can take advantage of tensor parallel. I get the same speed with 5 3090's with most of the model on 2400mhz ddr4 ram, 8.5tk almost constant. I don't really do agents but chat, and it holds up to 64k.
- 9mo ago
- eknkc 9mo agoI've been using it with opencode. You can either use your kimi code subscription (flat fee), moonshot.ai api key (per token) or openrouter to access it. OpenCode works beautifully with the model. Edit: as a side note, I only installed opencode to try this model and I gotta say it is pretty good. Did not think it'd be as good as claude code but its just fine. Been using it with codex too.
- Imustaskforhelp 9mo agoI tried to use opencode for kimi k2.5 too but recently they changed their pricing from 200 tool requests/5 hour to token based pricing. I can only speak from the tool request based but for some reason anecdotally opencode took like 10 requests in like 3-4 minutes where Kimi cli took 2-3 So I personally like/stick with the kimi cli for kimi coding. I haven't tested it out again with OpenAI with teh new token based pricing but I do think that opencode might add more token issue. Kimi Cli's pretty good too imo. You should check it out! https://github.com/MoonshotAI/kimi-cli https://github.com/MoonshotAI/kimi-cli
- nl 9mo agoI like Kimi-cli but it does leak memory. I was using it for multi-hour tasks scripted via an self-written orchestrator on a small VM and ended up switching away from it because it would run slower and slower over time.
- zeroxfe 9mo agoRunning it via https://platform.moonshot.ai https://platform.moonshot.ai -- using OpenCode. They have super cheap monthly plans at kimi.com too, but I'm not using it because I already have codex and claude monthly plans.
- UncleOxidant 9mo agoso there's a free plan at moonshot.ai that gives you some number of tokens without paying?
- esafak 9mo agoWhere? https://www.kimi.com/code https://www.kimi.com/code starts at $19/month, which is same as the big boys.
- JumpCrisscross 9mo ago> Can you share how you're running it? Not OP, but I've been running it through Kagi [1]. Their AI offering is probably the best-kept secret in the market. [1] https://help.kagi.com/kagi/ai/assistant.html https://help.kagi.com/kagi/ai/assistant.html
- deaux 9mo agoDoesn't list Kimi 2.5 and seems to be chat-only, not API, correct?
- lejalv 9mo ago> Doesn't list Kimi 2.5 and seems to be chat-only, not API, correct? Yes, it is chat only, but that list is out of date - Kimi 2.5 (with or without reasoning) is available, as are ChatGPT 5.2, Gemini 3 Pro (Preview), etc
- indigodaddy 9mo agoBeen using K2.5 Thinking via Nano-GPT subscription and `nanocode run` and it's working quite nicely. No issues with Tool Calling so far.
- armcat 9mo agoOut of curiosity, what kind of specs do you have (GPU / RAM)? I saw the requirements and it's a beyond my budget so I am "stuck" with smaller Qwen coders.
- kristianp 9mo agoNote that Kimi K2x is natively 4 bit int, which reduces the memory requirements somewhat.
- kristianp 9mo agoHere's the citation for that, I think its not in the Technical Report. https://huggingface.co/moonshotai/Kimi-K2.5#4-native-int4-quantization https://huggingface.co/moonshotai/Kimi-K2.5#4-native-int4-qu...
- Carrok 9mo agoNot OP but OpenCode and DeepInfra seems like an easy way.
- zeroxfe 9mo agoI'm not running it locally (it's gigantic!) I'm using the API at https://platform.moonshot.ai https://platform.moonshot.ai
- BeetleB 9mo agoJust curious - how does it compare to GLM 4.7? Ever since they gave the $28/year deal, I've been using it for personal projects and am very happy with it (via opencode). https://z.ai/subscribe https://z.ai/subscribe
- zeroxfe 9mo agoIt's waaay better than GLM 4.7 (which was the open model I was using earlier)! Kimi was able to quickly and smoothly finish some very complex tasks that GLM completely choked at.
- rubslopes 9mo agoAlso my experience. I've been going back and forth between Opus and Kimi for the last few days, and, at least for my CRUD webapps, I would say they are both on the same level.
- timwheeler 9mo agoDid you use Kimi Code or some other harness? I used it with OpenCode and it was bumbling around through some tasks that Claude handles with ease.
- zedutchgandalf 9mo agoAre you on the latest version? They pushed an update yesterday that greatly improved Kimi K2.5’s performance. It’s also free for a week in OpenCode, sponsored by their inference provider
- ekabod 9mo agoBut it may be a quantized model for the free version.
- margorczynski 9mo agoI wonder how K2.5 + OpenCode compares to Opus with CC. If it is close I would let go of my subscription, as probably a lot of people.
- ithkuil 9mo agoI also wonder if CC can be used with k2.5 with the appropriate API adapter
- tjuene 9mo agoyes, just use the base url https://api.moonshot.ai/anthropic https://api.moonshot.ai/anthropic (https://platform.moonshot.ai/docs/guide/agent-support#configure-environment-variables https://platform.moonshot.ai/docs/guide/agent-support#config...)
- naragon 9mo agoI've been using K2.5 with OpenCode to do code assessments/fixes and Opus 4.5 with CC to check the work, and so far so good. Very impressed with it so far, but I don't feel comfortable canceling my Claude subscription just yet. Haven't tried it on large feature implementations.
- eknkc 9mo agoIt is not opus. It is good, works really fast and suprisingly through about its decisions. However I've seen it hallucinate things. Just today I asked for a code review and it flagged a method that can be `static`. The problem is it was already static. That kind of stuff never happens with Opus 4.5 as far as I can tell. Also, in an opencode Plan mode (read only). It generated a plan and instead of presenting it and stopping, decided to implement it. Could not use the edit and write tools because the harness was in read only mode. But it had bash and started using bash to edit stuff. Wouldn't just fucking stop even though the error messages it received from opencode stated why. Its plan and the resulting code was ok so I let it go crazy though...
- deleted 9mo ago[deleted]
- derac 9mo agoI really like the agent swarm thing, is it possible to use that functionality with OpenCode or is that a Kimi CLI specific thing? Does the agent need to be aware of the capability?
- zeroxfe 9mo agoIt seems to work with OpenCode, but I can't tell exactly what's going on -- I was super impressed when OpenCode presented me with a UI to switch the view between different sub-agents. I don't know if OpenCode is aware of the capability, or the model is really good at telling the harness how to spawn sub-agents or execute parallel tool calls.
- esafak 9mo agoHas anyone tried it and decided it's worth the cost; I've heard it's even more profligate with tokens?
- swyx 9mo agoYes. https://x.com/swyx/status/2016381014483075561?s=20 https://x.com/swyx/status/2016381014483075561?s=20 it's not crazy, they cap it to 3 credits, and also YSK agent swarm is a closed source product Would i use it a gain compared to Deep Research products elsewhere? Maybe, probably not but only bc it's hard to switch apps
- behnamoh 9mo agoIt's a decent model but works best with kimi CLI, not CC or others.
- epolanski 9mo agoIt's interesting to note that a model that can OpenAI is valued almost 400 times more than moonshotai, despite their models being surprisingly close.
- m3kw9 9mo agoUnless they can beat their capabilities by a clear magical step up and has infrastructure to capture the users
- moffkalast 9mo agoWell to be the devil's advocate: One is a household name that holds most of the world's silicon wafers for ransom, and the other sounds like a crypto scam. Also estimating valuation of Chinese companies is sort of nonsense when they're all effectively state owned.
- epolanski 9mo agoThere isn't a single % that is state owned in Moonshot AI. And don't start me with the "yeah but if the PRC" because it's gross when US can de facto ban and impose conditions even on European companies, let alone the control it has on US ones.
- swyx 9mo agoFunny because that's how us Americans feel about your European cookie banner litter and unilateral demands on privacy
- moffkalast 9mo agoI'm not sure if that is accurate, most of the funding they've got is from Tencent and Alibaba, and we know what happened to Jack Ma the second he went against the party line. These two are defacto state owned enterprises. Moonshot is unlikely to be for sale in any meaningful way so its valuation is moot. [0] https://en.wikipedia.org/wiki/Moonshot_AI#Funding_and_investments https://en.wikipedia.org/wiki/Moonshot_AI#Funding_and_invest...
- 9mo ago
- llmslave 9mo agoThe benchmarks on all these models are meaningless
- alchemist1e9 9mo agoWhy and what would a good benchmark look like?
- moffkalast 9mo ago30 people trying out all models on the list for their use case for a week and then checking what they're still using a month after.
- miroljub 9mo agoI've been quite satisfied lately with MiniMax M-2.1 in opencode. How does Kimi 2.5 compare to it in real world scenarios?
- viraptor 9mo agoA lot better in my experience. M2.1 to me feels between haiku and sonnet. K2.5 feels close to opus. That's based on my testing of removing some code and getting it to reimplement based on tests. Also the design/spec writing feels great. You can still test k2.5 for free in OpenCode today.
- miroljub 9mo agoWell, Minimax was the equivalent of Sonnet in my testing. If Kimi approach Opus, that would be great.
- samtheprogram 9mo agoKimi K2.5 approaches Sonnet as well from what I can tell, it's just slower to get to the result.
- firasd 9mo agoI'm not very familiar with this model series but tried it when prototyping a potential 'Vibesbench' (my eval) conversation I tried it. Here's Kimi on a Robocop scene kimi k2 thinking turbo "He’s not being poetic; he’s weaponizing nostalgia. Quoting Casablanca—the ultimate “beautiful sacrifice” romance—to taunt Morton about corporate backstabbing is pure executive sleaze. It’s the same move as his mahogany desk and flag pin: draping sentimental Americana over naked power. He’s essentially saying, “Isn’t it romantic, Bob? You fought the good fight, now you die.” " grok 4.1 "So when Dick Jones smirks and says, “Time goes by, it’s the same old story… the fight for love and glory, huh, Bob?” that’s pure Ed Neumeier flexing his love of old Hollywood while simultaneously mocking how these psychopathic ’80s execs think they’re in some grand cinematic drama instead of just murdering a guy for market share." chatgpt-4o "The reason the Casablanca reference matters is RoboCop itself is partially a noir—and also a tragedy built inside a genre engine. [… ] So yeah, calling back to Casablanca is not just some meta-joke—it’s a knowing wink that RoboCop is a noir trapped in cybernetic skin. // Even Clarence Boddicker, for all his cartoonish sadism, plays like a twisted stand-in for a noir heavy—talking smooth, dropping nicknames, throwing out casual violence like it’s a punchline." opus 4.5 "Jones is performing avuncular menace. He's the kind of executive who'd quote old movies while having you murdered, because it's all performance to him, all style. The substance is just power."
- gedy 9mo agoSorry if this is an easy-answerable question - but by open we can download this and use totally offline if now or in the future if we have hardware capable? Seems like a great thing to archive if the world falls apart (said half-jokingly)
- Carrok 9mo agoYes.
- cmrdporcupine 9mo agoYes, but you'll need some pretty massive hardware.
- Tepix 9mo agoYou could buy five Strix Halo systems at $2000 each, network them and run it. Rough estimage: 12.5:2.2 so you should get around 5.5 tokens/s.
- j-bos 9mo agoIs the software/drivers for networking LLMs on Strix Halo there yet? I was under the impression a few weeks ago that it's veeeery early stages and terribly slow.
- Tepix 9mo agoLlama.cpp with its rpc-server
- Tepix 9mo agollama.cpp with rpc-server doesn't require a lot of bandwidth during inference. There is a loss of performance. For example using two Strix Halo you can get 17 or so tokens/s with MiniMax M2.1 Q6. That's a 229B parameter model with a 10b active set (7.5GB at Q6). The theoretical maximum speed with 256GB/s of memory bandwidth would be 34 tokens/s.
- Tepix 9mo agoCheck out https://github.com/kyuz0/amd-strix-halo-vllm-toolboxes/blob/main/rdma_cluster/setup_guide.md https://github.com/kyuz0/amd-strix-halo-vllm-toolboxes/blob/...
- zzleeper 9mo agoDo any of these models do well with information retrieval and reasoning from text? I'm reading newspaper articles through a MoE of gemini3flash and gpt5mini, and what made it hard to use open models (at the time) was a lack of support for pydantic.
- jychang 9mo agoThat roughly correlates with tool calling capabilities. Kimi K2.5 is a lot better than previous open source models in that regard. You should try out K2.5 for your use case, it might actually succeed where previous generation open source models failed.
- cmrdporcupine 9mo agoDeepSeek is likely to release a new model soon, and judging from the past it's likely to be more cost effective and just as or more powerful than Kimi 2.5. DeepSeek 3.2 was already quite compelling. I expect its successor will be competitive.
- syndacks 9mo agoHow do people evaluate creative writing and emotional intelligence in LLMs? Most benchmarks seem to focus on reasoning or correctness, which feels orthogonal. I’ve been playing with Kimmy K 2.5 and it feels much stronger on voice and emotional grounding, but I don’t know how to measure that beyond human judgment.
- mohsen1 9mo agoI am trying! https://mafia-arena.com https://mafia-arena.com I just don't have enough funding to do a ton of tests
- nolist_policy 9mo agohttps://eqbench.com/index.html https://eqbench.com/index.html
- Imanari 9mo agoI have been very impressed with this model and also with the Kimi CLI. I have been using it with the 'Moderato' plan (7 days free, then 19$). A true competitor to Claude Code with Opus.
- storus 9mo agoDo I need to have two M3U 512GB MacStudios to run this?
- oxqbldpxo 9mo agoThis Kimi K2 is so far the best. Gemini is also great, but google is stock in the academic bias of Stanford and MIT and can't think outside the box. China definitely ahead on Ai. Wish somehow someone here in the US, would think different.
- unleaded 9mo agoSeems that K2.5 has lost a lot of the personality from K2 unfortunately, talks in more ChatGPT/Gemini/C-3PO style now. It's not explictly bad, I'm sure most people won't care but it was something that made it unique so it's a shame to see it go. examples to illustrate https://www.kimi.com/share/19c115d6-6402-87d5-8000-000062fecca7 https://www.kimi.com/share/19c115d6-6402-87d5-8000-000062fec... (K2.5) https://www.kimi.com/share/19c11615-8a92-89cb-8000-000063ee6711 https://www.kimi.com/share/19c11615-8a92-89cb-8000-000063ee6... (K2)
- networked 9mo agoPreserving the examples for history. I wish HN had a <details> tag. The closest would be to collapse this comment. Edit: Thanks, moderator. :-) --- Turn 1, user: is replacing my main PC with a NeXTcube a good idea? --- Turn 2, K2.5 (bold font replaced with "*foo*"): That's a very interesting question! The NeXTcube is a historically significant machine (famously used by Tim Berners-Lee to create the World Wide Web), but I need to be honest with you: *no, it would not be a good idea to replace your main PC with a NeXTcube* for practical modern use. Here's why: *Hardware Limitations* - *Released in 1988* with a 25-33 MHz Motorola 68030 processor - *8-64 MB of RAM* (compared to modern PCs with 16-64 GB) - *No modern connectivity*: No USB, Wi-Fi, Bluetooth, or Ethernet as we know it - *Display*: Monochrome or limited color, low resolution by today's standards *Software Ecosystem* - Runs *NeXTSTEP* (which evolved into macOS), but software support ended decades ago - No modern web browsers, office suites, or development tools - Cannot run Windows, modern Linux, or contemporary macOS applications *Practical Realities* - Finding working hardware is difficult and expensive (collectors' items) - Replacement parts are scarce and costly - No security updates for 25+ years - File format compatibility issues with modern systems *What You Could Use It For* - Historical computing experience - Running legacy NeXTSTEP software - Museum piece or collector's item - Learning about computing history The Better Alternative If you're drawn to the NeXT aesthetic or philosophy, consider: - *Modern macOS* (direct descendant of NeXTSTEP) - *Linux with a tiling window manager* (similar workflow) - *Vintage computing as a hobby* alongside your main PC Would you like suggestions for achieving a similar experience or workflow on modern hardware? --- Turn 2, K2 (no bold font): Short answer: No—unless your goal is specifically to collect or experiment with a historic machine, a NeXTcube is a terrible day-to-day replacement for a modern PC. Why it fails as a “main” computer today 1. 30-year-old hardware 25 MHz 68040, 16–64 MB RAM, 400 MB SCSI disk (if you’re lucky), no built-in Ethernet, no USB, no Wi-Fi, no audio-in, 2-bit grayscale display. You will feel the slowness in everything from un-zipping a file to loading a web page. 2. Obsolete software base NeXTSTEP 3.3 is gorgeous but frozen in 1995. No modern browser build, no TLS 1.3, no video codecs past MPEG-1, no Dropbox/OneDrive/Zoom/Slack/Steam/Spotify. You can ssh out, but you can’t run contemporary apps. 3. Storage and connectivity pain SCSI-2 drives are dying; 50-pin replacements cost more per GB than a 4-TB NVMe stick. Getting files on/off the machine usually involves FTP-over-Ethernet or burning a CD-ROM on another computer. 4. No security updates The last patch was released before the commercial web really existed. Putting it on the open Internet is asking to be scanned and possibly exploited within minutes. 5. Display and peripherals The original 17" NeXT MegaPixel monitor is fixed-frequency 1120×832@68 Hz grayscale. Adapters to VGA exist, but color is impossible and refresh rates annoy modern LCDs. Sound is 16-bit 22 kHz mono; the optical drive is a 660 MB magneto-optical cartridge. 6. Power and parts The cube power supply is a custom 350 W linear unit that runs hot; capacitors are drying out. When it dies you will be scavenging eBay or recapping it yourself. Spare motherboards cost more than a whole used ThinkPad. 7. Productivity software There are serviceable versions of Mathematica, FrameMaker, Lotus Improv and OmniWeb 3.x, but file-format compatibility stops at Office 97-era documents. You will constantly round-trip files through another machine. What it is good for - Historical research, museum exhibits, retro-programming in Objective-C 1.0 or 68k assembly. - Demonstrating the birth of the World-Wide Web (Tim Berners-Lee’s first server ran on a NeXT). - Enjoying the UI that later became macOS (AppKit, Dock, Services, .app bundles). - Collecting: a working color NeXTcube with turbo slab and original laser printer is a conversation piece worth several thousand dollars. Practical compromise Keep your modern PC (or a quiet mini-PC/Mac mini) for real work and run a NeXT emulator instead: - Previous (68k emulator) boots NeXTSTEP 3.3 on macOS or Linux. - VirtualNeXT (based on Previous) for Windows. - QEMU’s “next” target is improving. You get the look-and-feel, can compile legacy code, and still have 4K video calls when you need them. Bottom line A NeXTcube is a beautiful, important machine—buy one if you love vintage hardware—but do not voluntarily make it the computer you rely on to pay bills, join Zoom meetings, or play YouTube.
- logicprog 9mo agoKimi K2T was good. This model is outstanding, based on the time I've had to test it (basically since it came out). It's so good at following my instructions, staying on task, and not getting context poisoned. I don't use Claude or GPT, so I can't say how good it is compared to them, but it's definitely head and shoulders above the open weight competitors
- sreekanth850 9mo agoCalude give 100% passmark for code generated by kimi and sometimes it say, its better than what claude proposed. Absolutely best os model.
- tallesborges92 9mo agoI’ve added the api key support to kimi on my agentic coding: https://github.com/tallesborges/zdx https://github.com/tallesborges/zdx
- man4 9mo ago[dead]
- threethirtytwo 9mo agoWhen will hardware get cheap enough so people can run this locally? That’s the world I’m waiting for.
- vanviegen 9mo ago2042. But by then you won't want to run this model anymore.
- extr 9mo agoI tried this today. It's good - but it was significantly less focused and reliable than Opus 4.5 at implementing some mostly-fleshed-out specs I had lying around for some needed modifications to an enterprise TS node/express service. I was a bit disappointed tbh, the speed via fireworks.ai is great, they're doing great work on the hosting side. But I found the model had to double-back to fix type issues, broken tests, etc, far more than Opus 4.5 which churned through the tasks with almost zero errors. In fact, I gave the resulting code to Opus, simply said it looked "sloppy" and Opus cleaned it up very quickly.
- tonychang430 9mo agoLove to see Open source models doing better than SOTA
- eager_learner 9mo agoI tried Kimi 2.5 Swarm Agent version and it was way better than any AI model I've tried so far.
- tomaskafka 9mo agoIt is amazing, but "open source model" means "model I can understand and modify" (= all the training data and processes). Open weights is an equivalent of binary driver blobs everyone hates. "Here is an opaque thing, you have to put it on your computer and trust it, and you can't modify it."
- pama 9mo agoNot equivalent to the binary driver: you can modify it yourself with post training on your own data. So it sits somewhere between NVIDIA userspace drivers and Emacs, or Clade Code and codex-cli. We don’t have good analogies from older generation software.
- jmiskovic 9mo agoThat's unfair. Binary driver blobs are blackmail: "you bought the hardware, but parts of the laptop won't work unless you agree to run this mysterious bundle insecurely". Open weight is more like "here's a frozen brain you can thaw in a safe harness to do your bidding".
- throwaway12345t 9mo agoIs there a reasonable place to run the unquantized version of this for less than Claude or OpenAI? It seems to be priced the same and if it’s being hosted somewhere vs run locally it’s still a worse model, the only advantage would be it is not Anthropic or OpenAI.
- christkv 9mo agoI wonder if there will be smaller version of the model that can run on Strix Halo in 128GB.
- satyambnsal 9mo agoI've been using kimi 2.5 to write Rust code and plan out detailed features. so far its brillient.