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ENTITY K2.7 Code

K2.7 Code

PulseAugur coverage of K2.7 Code — every cluster mentioning K2.7 Code across labs, papers, and developer communities, ranked by signal.

Show in brief
Total · 30d
3
3 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
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0 over 90d
TIER MIX · 90D
TOPICS
TIMELINE
  1. 2026-06-13 product_launch Fireworks AI launched the K2.7 Code model, available on their serverless platform and API. source
SENTIMENT · 30D

3 day(s) with sentiment data

RECENT · PAGE 1/1 · 5 TOTAL
  1. FRONTIER RELEASE · CL_249360 ·

    DeepSeek retires V4-Pro model, rerouting to faster, cheaper V4.1-Flash variant · 3 sources tracked

    DeepSeek is retiring its flagship DeepSeek V4-Pro model, rerouting all requests to its V4.1-Flash variant. This decision follows internal and external testing that indicated V4.1-Flash outperforms V4-Pro in capability, …

  2. SIGNIFICANT · CL_245808 ·

    Moonshot launches Kimi K3 with 2.8T parameters and 1M context window

    Moonshot has launched its Kimi K3 model, a 2.8-trillion-parameter Mixture-of-Experts model with a context window of over 1 million tokens. The model features a new Kimi Delta Attention mechanism, which combines linear a…

  3. TOOL · CL_232014 ·

    Developer's Kimi model API costs surge due to OpenRouter aggregator

    A developer building a coding assistant found that using the OpenRouter aggregator for Moonshot AI's Kimi models led to unexpectedly high API costs. While convenient for accessing multiple models like Kimi K2.5, K2.6, a…

  4. TOOL · CL_88595 ·

    Fireworks AI launches K2.7 Code model for efficient agentic coding

    Fireworks AI has launched its K2.7 Code model, an advancement in their K2 line of coding models, now available on their serverless platform and API. This new model is designed to reduce reasoning token usage in long age…

  5. SIGNIFICANT · CL_88609 ·

    Moonshot's Kimi K2.7 Code debuts on Fireworks with enhanced agent efficiency

    Fireworks AI is launching support for Moonshot's Kimi K2.7 Code, a new coding model designed for agentic tasks. This model boasts a 1T parameter architecture with 32B active parameters per token and a 256K context windo…