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

GPT-5.5 vs o1-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 o1-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...

View Full Specs
OpenAI

o1-pro

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

View Full Specs

Technical Specifications

SpecificationGPT-5.5o1-pro
ProviderOpenAIOpenAI
Context Window1,050,000 tokens200,000 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242025-03-19

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

o1-pro

$150.00

Output Price per Million Tokens

GPT-5.5

$30.00

o1-pro

$600.00

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%vsN/A
GPT-5.5
o1-pro
HumanEvalPython coding & logic synthesis
9680.0%vsN/A
GPT-5.5
o1-pro
MATHComplex mathematical problem solving
9350.0%vsN/A
GPT-5.5
o1-pro
GPQAGraduate-level expert reasoning
8420.0%vsN/A
GPT-5.5
o1-pro
HellaSwagCommonsense reasoning and inference
9900.0%vsN/A
GPT-5.5
o1-pro
MT-BenchMulti-turn conversation flow quality
970.0%vsN/A
GPT-5.5
o1-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

o1-pro Quirks & Gotchas

No developer gotchas reported.