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GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
Kimi K2.7 Code
◆ OPEN
by Moonshot
OPEN WEIGHTSLOCALAPILONG CONTEXTPAIDREASONING
RANKED #105 OF 233 ASSISTANTS · OVERALL #178 OF 6,536 · VIBE SCORE 5.9 · 78 VOICES
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...
HAPPY9.4
7 mentions
SAD5.6
7 mentions
VIBE TRAJECTORY
26 weeks · 145 voices
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download Kimi K2.7 Code once and it's yours. No subscription, no rate limits, works offline.
1T parameters (MoE architecture), native INT4 weight footprint is around 500 GB to 600 GB
- BARE MINIMUM
Dual AMD EPYC workstation with 8x NVIDIA RTX 4090 24GB GPUs
192 GB VRAM PLUS 512 GB SYSTEM RAM
~$18,000 USEDModel is too massive for normal single-GPU consumer hardware, requires multi-GPU PCIe/NVLink workstation or CPU offloadi
- SWEET SPOT
Cluster node with 8x NVIDIA RTX 6000 Ada 48GB GPUs
384 GB VRAM PLUS 512 GB RAM
~$60,000 USEDINT4 quantized distributed inference via vLLM with comfortable 64k context window
- FULL POWER
Enterprise server node with 8x NVIDIA H100 80GB SXM5 GPUs
640 GB VRAM
~$280,000 NEWNative INT4 / NVFP4 precision with full 262k context window and high throughput
LEARN HOW TO SET IT UP
WILL MY BOX RUN KIMI K2.7 CODE?
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long Kimi K2.7 Code takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMDual AMD EPYC workstation with 8x NVIDIA RTX 4090 24GB GPUs | SWEET SPOTCluster node with 8x NVIDIA RTX 6000 Ada 48GB GPUs | FULL POWEREnterprise server node with 8x NVIDIA H100 80GB SXM5 GPUs |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~1.7 MIN | ~20 S | ~3 S |
| Summarize a documenta long report boiled down to the points that matter | ~5 MIN★★★★★ | ~60 S★★★★★ | ~8 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~27 MIN★★★★★ | ~5.3 MIN★★★★★ | ~44 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~83 MIN★★★★★ | ~17 MIN★★★★★ | ~2.3 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~50 MIN★★★★★ | ~10 MIN★★★★★ | ~83 S★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
WHAT THE INTERNET SAYS
Not enough discussion about Kimi K2.7 Code yet to call it. We found 78 posts but people did not say much either way.
73 POSTS · 5 COMMENTS · HACKER NEWS · BLUESKY · GITHUB · REDDIT · X · BLOG
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Grok 4.6
Qwen3.8 27B
Gemini 3.7 Flash> SOURCES (12)
- HACKER NEWS · 2026-06-12 · 463 UPVOTESKimi K2.7-Code: open-source coding model with better token efficiency
Kimi K2.7-Code: open-source coding model with better token efficiency
- HACKER NEWS · 2026-07-02 · 417 UPVOTESKimi K2.7 Code is generally available in GitHub Copilot
Kimi K2.7 Code is generally available in GitHub Copilot
- REDDIT · 2026-07-01 · 263 UPVOTESKimi K2.7 Code is generally available in GitHub Copilot
Kimi K2.7 Code is generally available in GitHub Copilot
- REDDIT · 2026-07-22 · 41 UPVOTESVRAM disk cache of MoE makes 340 pp/s 9.6 tg/s for Kimi 2.7 on a single dgx spark
VRAM disk cache of MoE makes 340 pp/s 9.6 tg/s for Kimi 2.7 on a single dgx spark
- BLOG · 2026-06-28 · 32 UPVOTESLatest open artifacts (#22): Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem
A trend we continue to see in open model releases is that the ecosystem is becoming more diverse, with an increasing number of organizations releasing a wide range of models. A year ago, open artifacts and the open model landscape more broadly were dominated…
- REDDIT · 2026-07-10 · 28 UPVOTESComment in r/GithubCopilot
Comment in r/GithubCopilot
- X · 2026-08-15 · 24 UPVOTEStop 10 free ai api providers i found this week. all in one place. 10 providers. $0 not clickbait. not engagement farming
top 10 free ai api providers i found this week. all in one place. 10 providers. $0 not clickbait. not engagement farming
- REDDIT · 2026-08-10 · 21 UPVOTESUsable budget-friendly models in Copilot? Why is usage so bad in Copilot?
Usable budget-friendly models in Copilot? Why is usage so bad in Copilot?
- REDDIT · 2026-06-14 · 19 UPVOTESKimi-k2.7-code usage feels very high?
Kimi-k2.7-code usage feels very high?
- REDDIT · 2026-06-14 · 16 UPVOTESA Comparison between DeepSeek V4 Pro and MiniMax M3
A Comparison between DeepSeek V4 Pro and MiniMax M3
- X · 2026-08-14 · 13 UPVOTESOpen Design Go gives you generous access to 8 popular AI models: -DeepSeek V4 Flash & V4 Pro -GLM-5.2 & GLM-5.1
Open Design Go gives you generous access to 8 popular AI models: -DeepSeek V4 Flash & V4 Pro -GLM-5.2 & GLM-5.1
- REDDIT · 2026-06-12 · 11 UPVOTESKimi K2.7 Code is less interesting as a new coder model and more interesting as an efficiency signal
Kimi K2.7 Code is less interesting as a new coder model and more interesting as an efficiency signal