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GPT-5.2-Codex vs GPT 5.6 Luna

Compare GPT-5.2-Codex 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.

OpenAIGPT-5.2-CodexOpenAIGPT 5.6 Luna
+ Add model · 2/4
OpenAI logo
GPT-5.2-Codex
OpenAI · text, image, pdf → text

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.

Input$1.75 /M
Output$14 /M
Cache read$0.175 /M
Details
OpenAI logo
GPT 5.6 Luna
OpenAI · text, image → text

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.

Input$0.2 /M
Output$1.2 /M
Cache read$0.02 /M
Details

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

GPT-5.2-Codex
GPT 5.6 Luna
Input /M
$1.75
$0.2
Output /M
$14
$1.2
Cache read /M
$0.175
$0.02
Context length
400,000
1,050,000
Max output
128,000
128,000
Time to First Token
0.7 s
5.0 s
Throughput
81.8 tok/s
47.2 tok/s
Modalities
textimagepdf
textimage
Supported Parameters
thinkingfunction callingstructured outputs
toolsthinkingstructured outputs
API Formats
chat_completions · responses
Released
December 11, 2025
July 9, 2026

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.

gpt-5.2-codexgpt-5.6-luna

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gpt-5.2-codexgpt-5.6-luna

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

GPT 5.6 Luna
$30.00 /mo
GPT-5.2-Codex
$315 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: GPT-5.2-Codex, GPT 5.6 Luna?

GPT 5.6 Luna: $1.2/M output tokens; GPT-5.2-Codex: $14/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 GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on GPT-5.2-Codex and 128,000 tokens on GPT 5.6 Luna.

Which one generates tokens faster?

GPT-5.2-Codex at 81.8 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-5.2-Codex accepts text, image and PDF input and supports thinking, function calling and structured outputs; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.

Can I call GPT-5.2-Codex 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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