Breaking

Kimi K3 Undercuts GPT-5.6 Sol on Token Price, but Efficiency Gap Narrows the Total-Cost Story

July 19, 2026 at 10:15 EDT

Foundation Models
Open Source

Moonshot AI's newly released Kimi K3 lists per-token prices roughly half those of OpenAI's GPT-5.6 Sol, yet emerging analysis suggests the flagship models cost about the same to run once token efficiency and speed are factored in — with Sol finishing comparable tasks meaningfully faster.

July 2026 · Frontier Model Pricing

Kimi K3 Lists Half the Price — But Costs About the Same to Run

On paper Moonshot's Kimi K3 is roughly 2× cheaper per token than OpenAI's GPT-5.6 Sol. Yet Sol uses about half the tokens and runs faster — pushing real end-to-end cost to near parity, and finishing comparable tasks meaningfully quicker.

Sticker Price · Output per 1M Tokens

Height = price to scale. Each block = $5 per million output tokens.

$15

Kimi K3

$30

GPT-5.6 Sol

~2×

Cheaper per token — K3 vs Sol on sticker price

~½

Tokens Sol uses for the same task, offsetting K3's price edge

90%

Max discount on K3's cached input tokens

The Real Formula Buyers Now Use

Effective cost = tokens consumed × price ÷ time to completion

Half the unit price × twice the token use ≈ parity. Add Sol's higher tokens-per-second and it finishes equivalent jobs several times faster at a similar total spend.

Kimi K3 leads

1,679

Frontend Code Arena · vs 1,618 for Sol

Strong on visual coding, long-repo analysis, sustained agent runs. Open weights due July 27.

GPT-5.6 Sol leads

~59–60

Artificial Analysis Index · vs ~57 for K3

Higher throughput, lower token use, more stable on intricate multi-step work.

Bottom line: K3 is a genuinely strong frontier model — its appeal rests on capability and open weights, not on being decisively cheaper to operate.

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