ai-trend-notifier

$ diff kimi-k3 gpt-5-6-sol

Kimi K3 vs GPT-5.6 Sol

Moonshot AI and OpenAI, side by side. Every value below is the one recorded on the model’s own wiki page, with its citation — nothing is estimated.

What actually differs

Context window
GPT-5.6 Sol takes 1.1M against 1M — modestly more room in a single request.
Input price
Kimi K3 at $3/M against $5/M — 1.7× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
Kimi K3 at $15/M against $30/M — 2.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Kimi K3 publishes weights (Modified MIT (commercial use permitted; weights publicly downloadable)); GPT-5.6 Sol is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Kimi K3 shipped 7 days after GPT-5.6 Sol (2026-07-16 vs 2026-07-09).

Full spec

AttributeKimi K3GPT-5.6 Sol
DeveloperMoonshot AIOpenAI
Released2026-07-162026-07-09
Context window1M tokens1.05M tokens
Pricing$0.30/M cache-hit input · $3.00/M cache-miss input · $15.00/M output$5/M input · $30/M output (Sol; family tiers below)
LicenseModified MIT (commercial use permitted; weights publicly downloadable)proprietary (API-only; no weight release)
AvailabilityKimi Code, Kimi app, Kimi API; weights on Hugging Face (`moonshot-ai/kimi-k3`, released 2026-07-27)ChatGPT (subscription), API

Values come from Kimi K3 and GPT-5.6 Sol, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing. How these pages are produced.

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