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GPT-4.1 Nano 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-4.1 Nano and R1 0528.

OpenAI

GPT-4.1 Nano

For tasks that demand low latency, GPTโ€‘4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

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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-4.1 NanoR1 0528
ProviderOpenAIDeepSeek
Context Window1,047,576 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-04-142025-05-28

API Pricing Comparison

Input Price per Million Tokens

GPT-4.1 Nano

$0.10

R1 0528

$0.50

Output Price per Million Tokens

GPT-4.1 Nano

$0.40

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.

GPT-4.1 Nano Quirks & Gotchas

No developer gotchas reported.

R1 0528 Quirks & Gotchas

No developer gotchas reported.