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$ diff gpt-image-2-5-flare kimi-k3

GPT-Image-2.5 Flare vs Kimi K3

Values come from GPT-Image-2.5 Flare and Kimi K3, 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.

What actually differs

Input price
Kimi K3 at $3/M against $30/M — 10.0× 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
GPT-Image-2.5 Flare at $2/M against $15/M — 7.5× 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-Image-2.5 Flare is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
GPT-Image-2.5 Flare shipped 54 days after Kimi K3 (2026-09-08 vs 2026-07-16).

Full spec

AttributeGPT-Image-2.5 FlareKimi K3
DeveloperOpenAIMoonshot AI
Released2026-09-082026-07-16
Context windownot recorded1M tokens
Pricingimage input $8.00/M tokens ($2.00/M cached) · image output $30.00/M tokens · text input $5.00/M tokens ($1.25/M cached)$0.30/M cache-hit input · $3.00/M cache-miss input · $15.00/M output
LicenseproprietaryModified MIT (commercial use permitted; weights publicly downloadable)
AvailabilityOpenAI APIKimi Code, Kimi app, Kimi API; weights on Hugging Face (`moonshot-ai/kimi-k3`, released 2026-07-27)

How these pages are produced

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