GPT-5.1-Codex-Max is a frontier programming model built for the agent-driven era. Powered by an upgraded core reasoning architecture, it is specially trained for complex agentic tasks in software engineering, mathematics, and scientific research. It delivers faster performance, greater stability, and higher token efficiency across the entire development lifecycle, including code generation, refactoring, debugging, and engineering collaboration. With native support for multiple context windows and a built-in compaction mechanism, the model can coherently process millions of tokens within a single task.
GPT-5.1-Codex Max vs Kimi K3
Output tokens cost $10.00 per million on GPT-5.1-Codex Max and $15.00 per million on Kimi K3. Input tokens cost $1.25 per million on GPT-5.1-Codex Max and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.13 per million on GPT-5.1-Codex Max and $0.30 per million on Kimi K3. Context lengths are 400,000 tokens on GPT-5.1-Codex Max and 1,048,576 tokens on Kimi K3.
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-5.1-Codex Max, Kimi K3?
GPT-5.1-Codex Max: $10.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
GPT-5.1-Codex Max accepts 400,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GPT-5.1-Codex Max and 1,048,576 tokens on Kimi K3.
What inputs and capabilities does each model support?
GPT-5.1-Codex Max accepts text and image input and supports function calling, structured outputs and thinking; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call GPT-5.1-Codex Max 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.
Popular comparisons
Related model match-ups readers also look at.
