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GPT-5.2-Codex vs DeepSeek V3.1

Detailed technical comparison between GPT-5.2-Codex (OpenAI) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-5.2-Codex: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

GPT-5.2-Codex

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
OpenAIactive

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....

View GPT-5.2-Codex Full Specs โ†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-5.2-CodexDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window400,000 tokens๐Ÿ†163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-142025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-5.2-Codex

$1.75

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-5.2-Codex

$14.00

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 7.0x cheaper per input token than GPT-5.2-Codex.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
93.0%vs80.0%+13.0% GPT-5.2-Codex
GPT-5.2-Codex ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
99.0%vs78.2%+20.8% GPT-5.2-Codex
GPT-5.2-Codex ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
81.4%vs55.4%+26.0% GPT-5.2-Codex
GPT-5.2-Codex ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
56.4%vs40.8%+15.6% GPT-5.2-Codex
GPT-5.2-Codex ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
88.6%vs83.0%+5.6% GPT-5.2-Codex
GPT-5.2-Codex ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.5%vs8.6%+0.9% GPT-5.2-Codex
GPT-5.2-Codex ๐Ÿ†
DeepSeek V3.1

GPT-5.2-Codex Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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