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 GPT 5.6 Luna
Compare GPT-5.1-Codex Max from OpenAI and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
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, GPT 5.6 Luna?
GPT 5.6 Luna: $1.2/M output tokens; GPT-5.1-Codex Max: $10/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GPT-5.1-Codex Max: 2.2s 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-5.1-Codex Max accepts 400,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on GPT-5.1-Codex Max and 128,000 tokens on GPT 5.6 Luna.
Which one generates tokens faster?
GPT-5.1-Codex Max at 66.2 tok/s and GPT 5.6 Luna at 47.2 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-5.1-Codex Max accepts text and image input and supports function calling, structured outputs and thinking; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call GPT-5.1-Codex Max and GPT 5.6 Luna 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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