Kimi K2.6 - New #1 Local AI TESTED vs Cloud, Coding, Vision & Maths 🤯
Credibility score: 69/100 — Mostly Credible. Mixed credibility - some claims are solid, others need verification.
BSmeter analyzed "Kimi K2.6 - New #1 Local AI TESTED vs Cloud, Coding, Vision & Maths 🤯" and rated it 69/100 for credibility (a BS score of 31/100 — mostly credible), on 2026-04-21. Its weakest claim — "Kimi K2.6 is multimodal, chart-topping, smartest coding model, 1T parameters" — scored 45/100 and was flagged as dubious. 30 claims were checked against the video transcript. Scores are produced by BSmeter's AI analysis of the transcript, not independent human verification.
Claims analyzed
Kimi K2.6 is multimodal, chart-topping, smartest coding model, 1T parameters — Dubious (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 — Solid (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 — OK (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 — Solid (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 — Just Vibes (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 — Solid (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 — Solid (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 — Verified (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 — Just Vibes (50/100)
Sound in quantized Snake > cloud version? Local AI flexing hard 🎵😤
Flappy 3D game generated successfully, no runtime errors — Personal Story (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) — OK (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 — Personal Story (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 — Personal Story (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 — OK (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 — Personal Story (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 — Solid (80/100)
1T model on Mac Studio? Quantization magic actually works here 😤✅
3.5 INF produced 8000 tokens at 20 t/s — OK (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 — Personal Story (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 — Personal Story (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 — Personal Story (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 — Personal Story (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 — Personal Story (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 — Solid (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 — Solid (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 — Solid (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 — Personal Story (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 — Personal Story (70/100)
Blames chat interface creativity for wonky Earth — fair callout on temp settings needed 💀🔧
Cloud version failed with error, local worked — Personal Story (65/100)
Cloud choked while local delivered — first time local wins that matchup 😤✅
Q3 model scored zero on last four generations — Solid (75/100)
Q3 quantization tanks on complex tasks, as expected — lower precision means garbage output 💀✅
INF versions beat Q3.6 despite less memory — OK (65/100)
INF inference opts outperforming Q3.6? Plausible but leaderboard flex needs more runs 🙄📊
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