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DeepSeek V3.1 vs GPT-5.3-Codex

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 DeepSeek V3.1 and GPT-5.3-Codex.

DeepSeek

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...

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OpenAI

GPT-5.3-Codex

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...

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Technical Specifications

SpecificationDeepSeek V3.1GPT-5.3-Codex
ProviderDeepSeekOpenAI
Context Window163,840 tokens400,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-212026-02-24

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.1

$0.21

GPT-5.3-Codex

$1.75

Output Price per Million Tokens

DeepSeek V3.1

$0.79

GPT-5.3-Codex

$14.00

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.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

GPT-5.3-Codex Quirks & Gotchas

No developer gotchas reported.