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GPT-5.5 vs GPT-5.5 Pro

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-5.5 and GPT-5.5 Pro.

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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OpenAI

GPT-5.5 Pro

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

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Technical Specifications

SpecificationGPT-5.5GPT-5.5 Pro
ProviderOpenAIOpenAI
Context Window1,050,000 tokens1,050,000 tokens
Agent Suitability95/10098/100
Time to First Token (TTFT)380 ms450 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-242026-04-24

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

GPT-5.5 Pro

$30.00

Output Price per Million Tokens

GPT-5.5

$30.00

GPT-5.5 Pro

$180.00

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
9420.0%vs9650.0%
GPT-5.5
GPT-5.5 Pro
HumanEvalPython coding & logic synthesis
9680.0%vs9820.0%
GPT-5.5
GPT-5.5 Pro
MATHComplex mathematical problem solving
9350.0%vs9600.0%
GPT-5.5
GPT-5.5 Pro
GPQAGraduate-level expert reasoning
8420.0%vs8910.0%
GPT-5.5
GPT-5.5 Pro
HellaSwagCommonsense reasoning and inference
9900.0%vs9940.0%
GPT-5.5
GPT-5.5 Pro
MT-BenchMulti-turn conversation flow quality
970.0%vs990.0%
GPT-5.5
GPT-5.5 Pro

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

GPT-5.5 Pro Quirks & Gotchas

  • Best-in-class instruction following for complex agentic chains
  • Premium pricing — use GPT-5 for cost-sensitive workloads