Kimi — Field Evidence
hnUnverified
Kimi · Kimi · praise
Field note
Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTA — Also: Kimi K3: second only to Fable 5 on AA-Briefcase https://artificialanalysis.ai/articles/kimi-k3-agentic-knowl...
collected 2026-07-22original 2026-07-21
Does this shift the US–China race?
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Community reactions
Quoted from public discussions · not endorsed
“If you haven’t been really running and testing these models yourself, they are all benchmaxxed. No matter how close they score to frontier on whatever metric, they always fall apart in real world tasks and their token efficiency is ridiculously bad. Fireworks has incredible…”
@nxtfari · Hacker News · ▲ 11 · 6h ago · read →
“I love the Chinese models. I use DeepSeek exclusively and now Kimi K3 offers a great planning assistant for more advanced coding tasks. DeepSeek v4 Flash is extremely fast and is able to handle pretty much anything I've thrown at it (I use mostly Rust, PSQL, Angular and…”
@apatheticonion · Hacker News · ▲ 8 · 10h ago · read →
“A third the cost, open source, and won't refuse every other request because of some vague possible connection to cybersecurity concerns.”
@culi · Hacker News · ▲ 7 · 11h ago · read →
“I strictly prefer when models ignore any human quirks in my responses. Claude trying to be your friend, saying LOL to your jokes is ridiculous and frankly, harmful”
@4b11b4 · Hacker News · ▲ 6 · 6h ago · read →
“Why SoTA (uppercase “T”) instead of SotA (lowercase “T”) ? “State of [T]he Art” versus “State of [t]he Art”. If not SotA then at least SOTA, which is more accurate.”
@guessmyname · Hacker News · ▲ 6 · 11h ago · read →
“we put a router model in front of two other models so the router can decide which model is better at deciding things. next we'll need a router for the router and eventually the entire internet is just routers routing routers to other routers”
@luciana1u · Hacker News · ▲ 5 · 10h ago · read →
Impact on the index
Benchmark win · major
China +120US -30
Directional contribution — before recency decay and per-type diminishing returns. How it works →
Related Front
US vs ChinaLikely
U.S. FrontiervsChina Open-Weight
Likely — capability gap narrowing on common tasks
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