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GPT-5 vs R1 0528

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 R1 0528.

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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DeepSeek

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) 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...

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Technical Specifications

SpecificationGPT-5R1 0528
ProviderOpenAIDeepSeek
Context Window400,000 tokens163,840 tokens
Agent Suitability92/100N/A
Time to First Token (TTFT)320 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072025-05-28

API Pricing Comparison

Input Price per Million Tokens

GPT-5

$1.25

R1 0528

$0.50

Output Price per Million Tokens

GPT-5

$10.00

R1 0528

$2.15

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%vsN/A
GPT-5
R1 0528
HumanEvalPython coding & logic synthesis
9400.0%vsN/A
GPT-5
R1 0528
MATHComplex mathematical problem solving
8950.0%vsN/A
GPT-5
R1 0528
GPQAGraduate-level expert reasoning
7950.0%vsN/A
GPT-5
R1 0528
HellaSwagCommonsense reasoning and inference
9850.0%vsN/A
GPT-5
R1 0528
MT-BenchMulti-turn conversation flow quality
950.0%vsN/A
GPT-5
R1 0528

GPT-5 Quirks & Gotchas

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

R1 0528 Quirks & Gotchas

No developer gotchas reported.