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Glm 5.2 vs kimi 2.7 code

BACKGROUND
1 SIGNALFIRST DETECTED 17 June 2026
Narrative synthesis pending — 1 signal collected.
How the story developed
17 Jun
Glm 5.2 vs kimi 2.7 code
OPINION · WHAT · LocalLLaMA
Other feeds and industry voices
22 Apr
Kimi 2.6 and qwen3.6 is out but still as slow as ever

<!-- SC_OFF --><div class="md"><p>Has anyone tried these? </p> <p>I found this on <strong>ollama:</strong> <a

OPINION · WHAT · LocalLLaMAOPEN STORY
21 Jun
Fable vs GLM 5.2 vs KIMI K2.7 (Youtube VID)

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ubk1pl/fable_vs_glm_52_vs_kimi_k27_youtube_vid/"> <img alt="Fable vs GLM 5.2 vs KIMI K2.7 (Youtube VID)"

OPINION · WHAT · LocalLLaMAOPEN STORY
5 May
tested four newest open source Kimi K2.6 is the fastest, GLM 5.1 the fanciest, DeepSeek V4 is the most comprehensive, and Xiaomi MiMo is the slowest

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t4kkvb/tested_four_newest_open_source_kimi_k26_is_the/"> <img alt="tested four newest open source Kimi K2.6

OPINION · WHAT · LocalLLaMAOPEN STORY
20 Apr
Kimi K2.6 is still not good at analysis, but at least quite decent at flattery

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sqzuqd/kimi_k26_is_still_not_good_at_analysis_but_at/"> <img alt="Kimi K2.6 is still not good at analysis,

OPINION · WHAT · LocalLLaMAOPEN STORY
21 Apr
Kimi K2.6 showcasing its long-horizon agentic coding superpower. It deployed Qwen3.5-0.8B model locally on a Mac. Coded and optimized its inference in Zig. Improved throughput from ~15 to ~193 tokens/sec. 4,000+ tool calls, >12 hours of execution, 14 iterations.

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1srk9gu/kimi_k26_showcasing_its_longhorizon_agentic/"> <img alt="Kimi K2.6 showcasing its long-horizon

OPINION · WHAT · LocalLLaMAOPEN STORY
1 May
Opinions on Kimi-Dev-72B?

<!-- SC_OFF --><div class="md"><p>Haven’t read many reviews on Kimi Dev.</p> <p>Usually charts and discussions go around Kimi 2.6… but what about the application and performance

OPINION · WHEN · LocalLLaMAOPEN STORY
Sources
LocalLLaMA

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