← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-5.3-Codex vs GPT-5.5

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-5.3-Codex and GPT-5.5.

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...

View Full Specs
OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

View Full Specs

Technical Specifications

SpecificationGPT-5.3-CodexGPT-5.5
ProviderOpenAIOpenAI
Context Window400,000 tokens1,050,000 tokens
Agent SuitabilityN/A95/100
Time to First Token (TTFT)N/A380 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-242026-04-24

API Pricing Comparison

Input Price per Million Tokens

GPT-5.3-Codex

$1.75

GPT-5.5

$5.00

Output Price per Million Tokens

GPT-5.3-Codex

$14.00

GPT-5.5

$30.00

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.

MMLUGeneral knowledge & multi-task understanding
N/Avs9420.0%
GPT-5.3-Codex
GPT-5.5
HumanEvalPython coding & logic synthesis
N/Avs9680.0%
GPT-5.3-Codex
GPT-5.5
MATHComplex mathematical problem solving
N/Avs9350.0%
GPT-5.3-Codex
GPT-5.5
GPQAGraduate-level expert reasoning
N/Avs8420.0%
GPT-5.3-Codex
GPT-5.5
HellaSwagCommonsense reasoning and inference
N/Avs9900.0%
GPT-5.3-Codex
GPT-5.5
MT-BenchMulti-turn conversation flow quality
N/Avs970.0%
GPT-5.3-Codex
GPT-5.5

GPT-5.3-Codex Quirks & Gotchas

No developer gotchas reported.

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling