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GPT-5.5 Pro vs R1

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 Pro and R1.

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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DeepSeek

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

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Technical Specifications

SpecificationGPT-5.5 ProR1
ProviderOpenAIDeepSeek
Context Window1,050,000 tokens163,840 tokens
Agent Suitability98/100N/A
Time to First Token (TTFT)450 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-04-242025-01-20

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5 Pro

$30.00

R1

$0.70

Output Price per Million Tokens

GPT-5.5 Pro

$180.00

R1

$2.50

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
9650.0%vs9080.0%
GPT-5.5 Pro
R1
HumanEvalPython coding & logic synthesis
9820.0%vs9280.0%
GPT-5.5 Pro
R1
MATHComplex mathematical problem solving
9600.0%vs9310.0%
GPT-5.5 Pro
R1
GPQAGraduate-level expert reasoning
8910.0%vs6210.0%
GPT-5.5 Pro
R1
HellaSwagCommonsense reasoning and inference
9940.0%vs9050.0%
GPT-5.5 Pro
R1
MT-BenchMulti-turn conversation flow quality
990.0%vs935.0%
GPT-5.5 Pro
R1

GPT-5.5 Pro Quirks & Gotchas

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

R1 Quirks & Gotchas

No developer gotchas reported.