Morning Edition · Sunday, July 26, 2026Published at 1:32 AM EDT · New York

Moonshot's Kimi K3 Becomes the Largest Open-Weight Model, but Abandons Discount Pricing

The 2.8-trillion-parameter Chinese model scores 93.5% on GPQA Diamond and prices output at $15 per million tokens, roughly matching US flagships rather than undercutting them.

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Moonshot's Kimi K3 Becomes the Largest Open-Weight Model, but Abandons Discount Pricing

Moonshot AI released Kimi K3 on July 16, a 2.8-trillion-parameter multimodal reasoning model with a 1-million-token context window and downloadable weights expected around July 27. Independent trackers report it as the largest open-weight model shipped to date, with a GPQA Diamond score of 93.5%, the strongest reported for any open-weight system.

The pricing complicates the common view that Chinese labs always compete on lower cost. Kimi K3's API lists at $3 per million input tokens and $15 per million output tokens, well above the sub-dollar rates of DeepSeek and Qwen and described by several analysts as the most expensive model any Chinese lab has released. The "roughly half the price" framing holds on a per-task basis. Artificial Analysis measured K3 at about $0.94 per task on its intelligence index versus roughly $1.80 for Claude Opus 4.8, an efficiency edge that comes from architecture and throughput rather than a list-price discount. Independent testing by developer Simon Willison found K3 consumes heavy reasoning-token budgets, around 13,000 tokens for a single generation task.

What this means

The signal is that Chinese frontier labs are moving up-market from the discount tier toward parity pricing once their capability justifies it. That changes the mechanism of the China-stack thesis. Adoption abroad will increasingly depend on downloadable weights and sovereignty rather than on a price gap that K3 no longer offers. Enterprises that standardized on cheap Chinese APIs to cut cost now face a two-track choice between low-cost older models and a flagship priced like Western incumbents.

What to watch

The open-weight release around July 27 and how quickly self-hosted K3 deployments appear, which would test whether the 2.8-trillion-parameter model is practical to run outside Moonshot's own infrastructure.
Whether other Chinese labs follow Moonshot toward flagship pricing, which would mark the end of discount positioning as the region's main competitive advantage.

Observations to monitor, not financial advice.

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Source: Polylog editors

Part of a tracked trend

Chinese Open-Weight Models Emerge as the Non-US AI Stack

As Washington restricts foreign access to US frontier models, governments and enterprises cut off from American AI increasingly standardize on downloadable Chinese open-weight models, splitting the world into competing AI supply blocs rather than a single frontier.