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GPT-5 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 and GPT-5.5.

OpenAI

GPT-5

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

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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...

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Technical Specifications

SpecificationGPT-5GPT-5.5
ProviderOpenAIOpenAI
Context Window400,000 tokens1,050,000 tokens
Agent Suitability92/10095/100
Time to First Token (TTFT)320 ms380 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072026-04-24

API Pricing Comparison

Input Price per Million Tokens

GPT-5

$1.25

GPT-5.5

$5.00

Output Price per Million Tokens

GPT-5

$10.00

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
9210.0%vs9420.0%
GPT-5
GPT-5.5
HumanEvalPython coding & logic synthesis
9400.0%vs9680.0%
GPT-5
GPT-5.5
MATHComplex mathematical problem solving
8950.0%vs9350.0%
GPT-5
GPT-5.5
GPQAGraduate-level expert reasoning
7950.0%vs8420.0%
GPT-5
GPT-5.5
HellaSwagCommonsense reasoning and inference
9850.0%vs9900.0%
GPT-5
GPT-5.5
MT-BenchMulti-turn conversation flow quality
950.0%vs970.0%
GPT-5
GPT-5.5

GPT-5 Quirks & Gotchas

  • Reliable all-rounder — use as default for most production workflows
  • Not recommended for advanced reasoning chains — use o3-mini instead

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