Kimi K2.6 - New #1 Local AI TESTED vs Cloud, Coding, Vision & Maths 🤯
Credibility score: 69/100 — Mostly Credible. Analyzed 51 claims. 29 claim(s) rated as highly credible.
Claims analyzed
Kimi K2.6 is multimodal, chart-topping, smartest coding model, 1T parameters — Mostly Credible (45/100)
Dropping '1 trillion parameters' and '#1 coding' like it's confirmed gospel 💀📈
Sources: Moonshot AI Releases Kimi K2.6 with Long-Horizon Coding, Agent Swarm Scaling to 300 ... - MarkTechPost, Kimi K2.6: The new leading open weights model - Artificial Analysis
Kimi K2.6 has 1T params, agent swarm, runs quantized on 512GB system — Mostly Credible (80/100)
1T params on 512GB after 12hr quant grind? Legit flex, MoE makes it feasible 💀✅
Kimi K2.6 scores 58.6 on SWE-Pro, up from K2.5's 50, now #1 — Mostly Credible (65/100)
58.6 on SWE-Pro leap from 50? Sounds right but need bench receipts to crown it #1 😤📊
Kimi K2.6 #1 open-weight on SWB Bench Pro with commercial license limits — Mostly Credible (75/100)
Open-weight #1 with 'pay up or attribute' license? Savvy move, checks out ✅🔥
Quantized Kimi K2.6 Snake demo looks gorgeous with CRT effect — Mostly Credible (50/100)
Snake game looking fire on local AI? Okay, that's legit impressive 😤✅
3-bit quantization has bad perplexity, uses 420GB memory, 0.27GB context — Mostly Credible (75/100)
420GB for a local model? That's beast mode hardware, but numbers track for trillion-param MoE quantized 💀📈
3.6 version is 470GB, eats context window and RAM — Mostly Credible (75/100)
470GB monster confirmed — yeah your gaming rig's crying for more RAM 💀💾
3.6-bit version generates working Flappy Bird 3D with CRT effect — Mostly Credible (85/100)
Damn, actual 3D Flappy Bird with CRT filter from a local AI? That's not just working, that's flexing 😤✅
3.4 INF (440GB) has sound in Snake; full cloud K2.6 also great — Mostly Credible (50/100)
Sound in quantized Snake > cloud version? Local AI flexing hard 🎵😤
Flappy 3D game generated successfully, no runtime errors — Mostly Credible (70/100)
Dude's hyped on his blocky bird demo — it's cute, runs clean, but it's just one run 💀✅
Trillion-param model runs at 26 t/s (3.6-bit) and 21.6 t/s (3.5-bit) — Mostly Credible (65/100)
26 tokens/sec on trillion-param local AI? Impressive if real hardware, but 'blazing fastest' needs receipts 🔥📊
3.5-bit quant Kimi K2.6 smashed Flappy 3D, no errors — Mostly Credible (75/100)
3.5-bit 'smashed it' with zero errors? Bold for such aggressive quant, but demo delivers 😤✅
Pattern: Q3 fails, higher quants & cloud succeed — Mostly Credible (80/100)
Q3 flops, 3.5+ and cloud 4-bit crush it — textbook quant pattern, no cap 📈✅
3.4 INF produced 5900 tokens at 24 t/s, 440GB memory — Mostly Credible (65/100)
Specific perf numbers on massive model — plausible for quantized MoE but no benchmarks to verify 💀📊
Q3 Kimi generated 8000+ tokens for Meancraft 3D — Mostly Credible (65/100)
Q3 spits 8K tokens on Meancraft but misses context? Output fever dream incoming 💀
Quantizing 1T param Kimi K2.6 to run on Mac Studio — Mostly Credible (80/100)
1T model on Mac Studio? Quantization magic actually works here 😤✅
3.5 INF produced 8000 tokens at 20 t/s — Mostly Credible (60/100)
Another round of token stats — consistent drop in speed for finer quant, tracks logic 🔍
Kimi K2.6 5.1-bit quantization fails with runtime errors, 3.6-bit and 3.4-bit also crash — Mostly Credible (70/100)
Live demo of crashes on extreme quantization — classic hardware begging for mercy 💀🔥
3.4-bit INF produces 8800 tokens at 20 t/s but crashes; 3.5-bit works partially — Mostly Credible (65/100)
Stats thrown out like candy but still crashing — 411GB for 20 t/s is no bargain 😤💀
3.5-bit Kimi K2.6 generates working interactive 3D solar system demo — Mostly Credible (80/100)
OK, Death Star laser on a quantized planet? This actually slaps — hate to say it ✅😤
Model streaming from SSD takes one token a minute, 12 hours for perplexity — Mostly Credible (70/100)
Sounds painfully slow but that's local AI life on consumer hardware — legit struggle ✅😤
Q3 quant runaway gen used 25k tokens, 1.6 GiB memory, 22 t/s — Mostly Credible (65/100)
25k tokens of brute force? That's what aggressive Q3 does — eats tokens like candy 💀📈
Kimi K2.6 solved 2024 IMO problem correctly with Q3.4, no thinking mode — Mostly Credible (80/100)
Nailing IMO 2024 sans thinking mode on Q3.4? Damn, local AI just leveled up 😤✅🔥
Kimi K2.6 3-bit quantized solves IMO problem correctly — Mostly Credible (80/100)
3-bit quantization holding up on IMO? Other models needed 4-bit — that's legit impressive for local AI 😤✅
Cloud Kimi instant version solves IMO correctly — Mostly Credible (75/100)
Cloud 'instant' version nailing IMO without full thinking mode? Local vs cloud parity is wild 🔥✅
Kimi K2.6 produced 8,000 tokens at 20 t/s using 424GB RAM — Mostly Credible (70/100)
Dude's got a beast rig flexing 424GB RAM like it's casual 💀 — personal benchmark, take it or leave it ✅
Procedural planet generator has bugs like broken Earth and runtime errors — Mostly Credible (70/100)
Blames chat interface creativity for wonky Earth — fair callout on temp settings needed 💀🔧
Cloud version failed with error, local worked — Mostly Credible (65/100)
Cloud choked while local delivered — first time local wins that matchup 😤✅
Q3 model scored zero on last four generations — Mostly Credible (75/100)
Q3 quantization tanks on complex tasks, as expected — lower precision means garbage output 💀✅
INF versions beat Q3.6 despite less memory — Mostly Credible (65/100)
INF inference opts outperforming Q3.6? Plausible but leaderboard flex needs more runs 🙄📊
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