GPT-5.2-Codex is an upgraded version of GPT-5.2, optimized for agentic coding tasks in Codex and similar execution environments. The model is specifically enhanced for code generation, modification, refactoring, and automated execution workflows, enabling more efficient participation in multi-step, tool-driven programming processes. GPT-5.2-Codex supports low, medium, high, and xhigh reasoning effort settings, allowing flexible trade-offs between latency, reasoning depth, and token usage depending on task complexity.
GPT-5.2-Codex vs Kimi K3
Compare GPT-5.2-Codex from OpenAI and Kimi K3 from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT-5.2-Codex, Kimi K3?
GPT-5.2-Codex: $14.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GPT-5.2-Codex: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
GPT-5.2-Codex accepts 400,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GPT-5.2-Codex and 1,048,576 tokens on Kimi K3.
Which one generates tokens faster?
GPT-5.2-Codex at 81.8 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GPT-5.2-Codex accepts text and image input and supports thinking, function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call GPT-5.2-Codex and Kimi K3 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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