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GPT-5.2-Codex vs R1

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.2-Codex and R1.

OpenAI

GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

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DeepSeek

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

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Technical Specifications

SpecificationGPT-5.2-CodexR1
ProviderOpenAIDeepSeek
Context Window400,000 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-142025-01-20

API Pricing Comparison

Input Price per Million Tokens

GPT-5.2-Codex

$1.75

R1

$0.70

Output Price per Million Tokens

GPT-5.2-Codex

$14.00

R1

$2.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs9080.0%
GPT-5.2-Codex
R1
HumanEvalPython coding & logic synthesis
N/Avs9280.0%
GPT-5.2-Codex
R1
MATHComplex mathematical problem solving
N/Avs9310.0%
GPT-5.2-Codex
R1
GPQAGraduate-level expert reasoning
N/Avs6210.0%
GPT-5.2-Codex
R1
HellaSwagCommonsense reasoning and inference
N/Avs9050.0%
GPT-5.2-Codex
R1
MT-BenchMulti-turn conversation flow quality
N/Avs935.0%
GPT-5.2-Codex
R1

GPT-5.2-Codex Quirks & Gotchas

No developer gotchas reported.

R1 Quirks & Gotchas

No developer gotchas reported.