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GPT-4 Turbo 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-4 Turbo and R1 0528.

OpenAI

GPT-4 Turbo

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

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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-4 TurboR1 0528
ProviderOpenAIDeepSeek
Context Window128,000 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-092025-05-28

API Pricing Comparison

Input Price per Million Tokens

GPT-4 Turbo

$10.00

R1 0528

$0.50

Output Price per Million Tokens

GPT-4 Turbo

$30.00

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
8640.0%vsN/A
GPT-4 Turbo
R1 0528
HumanEvalPython coding & logic synthesis
8800.0%vsN/A
GPT-4 Turbo
R1 0528
MATHComplex mathematical problem solving
7300.0%vsN/A
GPT-4 Turbo
R1 0528
GPQAGraduate-level expert reasoning
5000.0%vsN/A
GPT-4 Turbo
R1 0528
HellaSwagCommonsense reasoning and inference
8600.0%vsN/A
GPT-4 Turbo
R1 0528
MT-BenchMulti-turn conversation flow quality
880.0%vsN/A
GPT-4 Turbo
R1 0528

GPT-4 Turbo Quirks & Gotchas

No developer gotchas reported.

R1 0528 Quirks & Gotchas

No developer gotchas reported.