Kimi K3
Moonshot's 2.5T flagship — 1M context, tuned for long-horizon agent work.
Reference benchmarks for Kimi K3
These are external benchmarks I pulled from the source comparison guides on agentos.guide — SWE-bench Verified, DRACO, Kilo plan rubric, build-time measurements, vendor-reported coding scores. They are not goldiebench medal scores (those come only from same-prompt one-shot creative coding tasks in the matrix). I surface them here so the spec sheet for Kimi K3 is honest about what's measured.
What is Kimi K3?
Kimi K3 is the Moonshot AI frontier model with a 1,048,576 tokens — a full codebase in working memory context window, released 2026-07-16. Tagline: Moonshot's 2.5T flagship — 1M context, tuned for long-horizon agent work.. Official source: kimi.com.
Pricing detail. Launched July 16, 2026. 2.5T-param MoE. $3/M input on OpenRouter at launch; included at no extra cost in the Kimi coding plan (`k3` on the coding endpoint).
How I use it inside the Agent OS. Wired into the Agent OS as the `kimi-k3` Hermes profile and a K3 speed-toggle in the Kimi Code tab — used for long unattended agent runs where a slow-but-right model beats a fast-but-forgetful one.
What I built with Kimi K3
Every model on Goldie Bench gets the same fixed prompt set — one shot, single HTML file out — and I score the result 0–10 inside the Agent Operating System. Here's what Kimi K3 shipped on the bench: 50 one-shot demos across 1,048,576 tokens — a full codebase in working memory of context. Of those, 50 are scored against the field with my honest 0–10 from the source guides at agentos.guide.
Strengths
- Launch-day benchmarks put it around the Fable/Sol tier, with Terminal Bench (agentic terminal-driving) the standout
- 1M-token context verified on this bench's needle test: exact recall from 162k tokens of noise in 18s
- One-shot builds run long but land complete — its first bench game (13.4 min of thinking, 30,880 tokens) playtested with zero JS errors
- Included in the Kimi coding plan — frontier tier without a new bill
Trade-offs
- Slow on hard tasks — early testers report up to ~35 minutes at max reasoning; this bench saw 13+ minute single builds
- Launch-day rate limits on OpenRouter (429s) — the coding-plan endpoint was the reliable route
- Self-reports as K2.7 if you ask it — verify the served model via the API response, not the model's word
Best for
- long-horizon agent runs
- whole-repo context work
- terminal-driving agents
Every demo by Kimi K3
50 live demos, sorted by category. Click any tile to play the actual one-shot result. Verdicts and 0–10 scores are pulled from the source guides where I posted them publicly.
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▶ LIVECompare Kimi K3 against every other model
Every head-to-head featuring Kimi K3. Verdicts shown for scored pairs.
See all 66 comparisons across every model →
Quick pill index
Direct comparisons against every other scored model on the bench:
Kimi K3 vs Fusion Kimi K3 vs Hermes MoA Kimi K3 vs GPT-5.6 Sol Kimi K3 vs Claude Fable 5 Kimi K3 vs Grok Kimi K3 vs MiniMax M3 Kimi K3 vs Fugu Ultra Kimi K3 vs GLM-5.2 Kimi K3 vs Fugu Mini Kimi K3 vs Opus 4.8 Kimi K3 vs Kimi K2.7 Kimi K3 vs Qwable 5 27B Coder Kimi K3 vs Claude Sonnet 5 Kimi K3 vs Qwen 3.7 Kimi K3 vs Inkling Kimi K3 vs Agents-A1 Kimi K3 vs Gemma 4 12B · MLX Kimi K3 vs Laguna XS 2.1 Kimi K3 vs Qwythos 9B Kimi K3 vs LongCat-2.0 Kimi K3 vs Hy3 Kimi K3 vs Gemma-4 12B CoderRead more on agentos.guide: /kimi-k3-machine
Kimi K3 — frequently asked
What is Kimi K3?
Kimi K3 is Moonshot AI's AI model — Moonshot's 2.5T flagship — 1M context, tuned for long-horizon agent work. It has a 1M tokens context window and was released 2026-07-16.
How good is Kimi K3 at coding and one-shot builds?
On the GoldieBench one-shot build benchmark it averages 5.81/10 across 50 scored tasks, with 9 gold, 5 silver and 7 bronze medals.
How much does Kimi K3 cost?
$3 / M in. Launched July 16, 2026. 2.5T-param MoE. $3/M input on OpenRouter at launch; included at no extra cost in the Kimi coding plan (`k3` on the coding endpoint).
Where can I see Kimi K3 demos?
Every one-shot build is live and playable on this page and on the GoldieBench compare matrix — same prompt as every other model, no retries.
Run this stack yourself.
Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 4,000+ founders shipping with it every day all live inside the AI Profit Boardroom.